Katja Hofmann

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 106

Top Venues

Publications

Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR (2024)
Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner
Transformer Neural Autoregressive Flows. CoRR (2024)
David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
Learning Safety Constraints from Demonstrations with Unknown Rewards. AISTATS (2024)
Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
Trust Region Bounds for Decentralized PPO Under Non-stationarity. AAMAS (2023)
Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CHI (2023)
Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Imitating Human Behaviour with Diffusion Models. ICLR (2023)
David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
Learning Safety Constraints from Demonstrations with Unknown Rewards. CoRR (2023)
Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoRR (2023)
Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoLLAs (2023)
Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Imitating Human Behaviour with Diffusion Models. CoRR (2023)
Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson
Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR (2023)
Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CoRR (2023)
Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca D. Dragan, Sam Devlin
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. CoRR (2022)
David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
Interactively Learning Preference Constraints in Linear Bandits. CoRR (2022)
David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
Interactively Learning Preference Constraints in Linear Bandits. ICML (2022)
Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. CoRR (2022)
Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca D. Dragan, Sam Devlin
UniMASK: Unified Inference in Sequential Decision Problems. CoRR (2022)
Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. AAAI (2022)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Marc-Alexandre Côté, Katja Hofmann, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. CoRR (2022)
Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson
You May Not Need Ratio Clipping in PPO. CoRR (2022)
Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS (2022)
Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
Uni[MASK]: Unified Inference in Sequential Decision Problems. NeurIPS (2022)
Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR (2022)
Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Georgescu, Ida Momennejad, David Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
How Humans Perceive Human-like Behavior in Video Game Navigation. CHI Extended Abstracts (2022)
Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. CoRR (2021)
Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer
Grounding Spatio-Temporal Language with Transformers. CoRR (2021)
Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. CoRR (2021)
Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning. CoRR (2021)
Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. CoRR (2021)
Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. ICCV (2021)
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
Memory Efficient Meta-Learning with Large Images. CoRR (2021)
Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. CoRR (2021)
Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR (2021)
Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. CoRR (2021)
Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
Evaluating the Robustness of Collaborative Agents. AAMAS (2021)
Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. CoRR (2021)
Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. ICML (2021)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) (2021)
Rafal Muszynski, Katja Hofmann, Jun Wang
Learning to Win, Lose and Cooperate through Reward Signal Evolution. CoRR (2021)
Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. AAMAS (2021)
Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer
SpatialSim: Recognizing Spatial Configurations of Objects With Graph Neural Networks. Frontiers Artif. Intell. 4 (2021)
Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. ICML (2021)
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard Turner
Memory Efficient Meta-Learning with Large Images. NeurIPS (2021)
Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. ICML (2021)
Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning. J. Mach. Learn. Res. 22 (2021)
Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer
Grounding Spatio-Temporal Language with Transformers. NeurIPS (2021)
Lida Theodorou, Daniela Massiceti, Luisa M. Zintgraf, Simone Stumpf, Cecily Morrison, Edward Cutrell, Matthew Tobias Harris, Katja Hofmann
Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors. ASSETS (2021)
Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
Evaluating the Robustness of Collaborative Agents. CoRR (2021)
Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
Strategically efficient exploration in competitive multi-agent reinforcement learning. UAI (2021)
Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. CoRR (2021)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. CoRR (2021)
Ian A. Kash, Michael Sullins, Katja Hofmann
Combining No-regret and Q-learning. AAMAS (2020)
Mikhail Jacob, Sam Devlin, Katja Hofmann
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games. CoRR (2020)
Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer
Meta Automatic Curriculum Learning. CoRR (2020)
Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. CoRR (2020)
Rika Antonova, Maksim Maydanskiy, Danica Kragic, Sam Devlin, Katja Hofmann
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control. CoRR (2020)
Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR (2020)
Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. AAMAS (2020)
Hugo Jair Escalante, Katja Hofmann
NeurIPS 2020 Competition and Demonstration Track: Revised selected papers. NeurIPS (Competition and Demos) (2020)
Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer
Recognizing Spatial Configurations of Objects with Graph Neural Networks. CoRR (2020)
Mikhail Jacob, Sam Devlin, Katja Hofmann
"It's Unwieldy and It Takes a Lot of Time" - Challenges and Opportunities for Creating Agents in Commercial Games. AIIDE (2020)
Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
Variational Integrator Networks for Physically Structured Embeddings. AISTATS (2020)
Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
AMRL: Aggregated Memory For Reinforcement Learning. ICLR (2020)
Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. ICLR (2020)
Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning. CoRR (2020)
Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
Automatic Curriculum Learning For Deep RL: A Short Survey. IJCAI (2020)
Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
Automatic Curriculum Learning For Deep RL: A Short Survey. CoRR (2020)
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner
Conservative Uncertainty Estimation By Fitting Prior Networks. ICLR (2020)
Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRL (2019)
Dino Stephen Ratcliffe, Katja Hofmann, Sam Devlin
Win or Learn Fast Proximal Policy Optimisation. CoG (2019)
Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
Better Exploration with Optimistic Actor Critic. NeurIPS (2019)
Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRR (2019)
Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning. CoG (2019)
William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR (2019)
Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. CoRR (2019)
Ian A. Kash, Michael Sullins, Katja Hofmann
Combining No-regret and Q-learning. CoRR (2019)
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. NeurIPS (2019)
Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
Better Exploration with Optimistic Actor-Critic. CoRR (2019)
Katja Hofmann
Minecraft as AI Playground and Laboratory. CHI PLAY (2019)
Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. CoRR (2019)
Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
Fast Context Adaptation via Meta-Learning. ICML (2019)
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. CoRR (2019)
Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
Variational Integrator Networks for Physically Meaningful Embeddings. CoRR (2019)
David Janz, Jiri Hron, Przemyslaw Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning. NeurIPS (2019)
Diego Pérez-Liébana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, André Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition. CoRR (2019)
Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
Advancements in Dueling Bandits. IJCAI (2018)
Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. SIGIR (2018)
Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth
Meta Reinforcement Learning with Latent Variable Gaussian Processes. CoRR (2018)
Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
CAML: Fast Context Adaptation via Meta-Learning. CoRR (2018)
Fraser Allison, Ewa Luger, Katja Hofmann
How Players Speak to an Intelligent Game Character Using Natural Language Messages. Trans. Digit. Games Res. Assoc. 4 (2) (2018)
David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek
Successor Uncertainties: exploration and uncertainty in temporal difference learning. CoRR (2018)
Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann
Variational Inference for Data-Efficient Model Learning in POMDPs. CoRR (2018)
Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. CoRR (2018)
Justas Dauparas, Ryota Tomioka, Katja Hofmann
Depth and nonlinearity induce implicit exploration for RL. CoRR (2018)
Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth
Meta Reinforcement Learning with Latent Variable Gaussian Processes. UAI (2018)
José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson
A New AI Evaluation Cosmos: Ready to Play the Game? AI Mag. 38 (3) (2017)
Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe
The Atari Grand Challenge Dataset. CoRR (2017)
Fraser Allison, Ewa Luger, Katja Hofmann
Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft. CHI Extended Abstracts (2017)
Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann
Asynchronous Data Aggregation for Training End to End Visual Control Networks. AAMAS (2017)
Felix Leibfried, Nate Kushman, Katja Hofmann
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Katja Hofmann