Goran Radanovic

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 60

Top Topics

Markov Decision Processes

Reinforcement Learning

Decision Processes

Partially Observable Markov Decision Process

Top Venues

Publications

Aleksa Sukovic, Goran Radanovic
Reward Design for Justifiable Sequential Decision-Making. ICLR (2024)
Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
Corruption-Robust Offline Two-Player Zero-Sum Markov Games. AISTATS (2024)
Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic
Corruption-Robust Offline Two-Player Zero-Sum Markov Games. CoRR (2024)
Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR (2024)
Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR (2024)
Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic
Performative Reinforcement Learning in Gradually Shifting Environments. CoRR (2024)
Aleksa Sukovic, Goran Radanovic
Reward Design for Justifiable Sequential Decision-Making. CoRR (2024)
Andi Nika, Adish Singla, Goran Radanovic
Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. AISTATS (2023)
Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic
Markov Decision Processes with Time-Varying Geometric Discounting. AAAI (2023)
Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic
Markov Decision Processes with Time-Varying Geometric Discounting. CoRR (2023)
Kiarash Banihashem, Adish Singla, Goran Radanovic
Defense Against Reward Poisoning Attacks in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. AAMAS (2023)
Stelios Triantafyllou, Goran Radanovic
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs. AAMAS (2023)
Stelios Triantafyllou, Goran Radanovic
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs. CoRR (2023)
Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
Online Reinforcement Learning with Uncertain Episode Lengths. CoRR (2023)
Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
Online Reinforcement Learning with Uncertain Episode Lengths. AAAI (2023)
Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla
Learning Embeddings for Sequential Tasks Using Population of Agents. CoRR (2023)
Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic
Performative Reinforcement Learning. ICML (2023)
Jiarui Gan, Rupak Majumdar, Debmalya Mandal, Goran Radanovic
Sequential Principal-Agent Problems with Communication: Efficient Computation and Learning. CoRR (2023)
Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic
Agent-Specific Effects. CoRR (2023)
Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. CoRR (2023)
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
Bayesian Persuasion in Sequential Decision-Making. AAAI (2022)
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
Sequential Decision Making With Information Asymmetry (Invited Talk). CONCUR (2022)
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
Admissible Policy Teaching through Reward Design. AAAI (2022)
Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic
Performative Reinforcement Learning. CoRR (2022)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. AIES (2022)
Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic
Admissible Policy Teaching through Reward Design. CoRR (2022)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. CoRR (2022)
Jiarui Gan, Rupak Majumdar, Adish Singla, Goran Radanovic
Envy-free Policy Teaching to Multiple Agents. NeurIPS (2022)
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos 9 (1) (2021)
Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan
Reinforcement Learning for Education: Opportunities and Challenges. CoRR (2021)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. CoRR (2021)
Stelios Triantafyllou, Adish Singla, Goran Radanovic
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. NeurIPS (2021)
Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla
Bayesian Persuasion in Sequential Decision-Making. CoRR (2021)
Paul Tylkin, Goran Radanovic, David C. Parkes
Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments. AAMAS (2021)
Kiarash Banihashem, Adish Singla, Goran Radanovic
Defense Against Reward Poisoning Attacks in Reinforcement Learning. CoRR (2021)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. J. Mach. Learn. Res. 22 (2021)
Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
Explicable Reward Design for Reinforcement Learning Agents. NeurIPS (2021)
Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations. Artif. Intell. 283 (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. CoRR (2020)
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger
Diversity in News Recommendations. CoRR (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. CoRR (2020)
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. ICML (2020)
Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
Learning to Collaborate in Markov Decision Processes. ICML (2019)
Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu
How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness. AIES (2019)
Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
Learning to Collaborate in Markov Decision Processes. CoRR (2019)
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
Bayesian Fairness. AAAI (2019)
Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings
Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. AAAI (2018)
Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness. CoRR (2018)
Goran Radanovic, Boi Faltings
Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge. AAAI (2018)
Boi Faltings, Goran Radanovic
Mechanismen zur Beschaffung korrekter Daten. Inform. Spektrum 40 (1) (2017)
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes
Calibrated Fairness in Bandits. CoRR (2017)
Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin
Multi-View Decision Processes: The Helper-AI Problem. NIPS (2017)
Goran Radanovic, Boi Faltings
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge. CoRR (2017)
Boi Faltings, Radu Jurca, Goran Radanovic
Peer Truth Serum: Incentives for Crowdsourcing Measurements and Opinions. CoRR (2017)
Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic
Subjective fairness: Fairness is in the eye of the beholder. CoRR (2017)
Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints. CoRR (2017)
Goran Radanovic, Boi Faltings
Learning to Scale Payments in Crowdsourcing with PropeRBoost. HCOMP (2016)
Goran Radanovic, Boi Faltings, Radu Jurca
Incentives for Effort in Crowdsourcing Using the Peer Truth Serum. ACM Trans. Intell. Syst. Technol. 7 (4) (2016)
Goran Radanovic, Boi Faltings
Limiting the Influence of Low Quality Information in Community Sensing. AAMAS (2016)
Goran Radanovic, Boi Faltings
Incentives for Subjective Evaluations with Private Beliefs. AAAI (2015)
Goran Radanovic, Boi Faltings
Incentivizing truthful responses with the logarithmic peer truth serum. UbiComp/ISWC Adjunct (2015)
Goran Radanovic, Boi Faltings
Incentive Schemes for Participatory Sensing. AAMAS (2015)
Goran Radanovic, Boi Faltings
Incentives for Truthful Information Elicitation of Continuous Signals. AAAI (2014)
Goran Radanovic, Boi Faltings
A Robust Bayesian Truth Serum for Non-Binary Signals. AAAI (2013)