Steven James

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Neural Architecture

Reinforcement Learning

Extremal Optimization

Top Venues

Publications

Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. GECCO (2024)
Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James
Hierarchically Composing Level Generators for the Creation of Complex Structures. IEEE Trans. Games 16 (2) (2024)
Muhammad Umair Nasir, Steven James, Julian Togelius
Word2World: Generating Stories and Worlds through Large Language Models. CoRR (2024)
David Torpey, Max Parkin, Jonah Alter, Richard Klein, Steven James
MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. J. Electronic Imaging 33 (1) (2024)
Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR (2023)
William Hill, Ireton Liu, Anita de Mello Koch, Damion Harvey, George Konidaris, Steven James
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. CoRR (2023)
Nathan Michlo, Richard Klein, Steven James
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI (2023)
Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL (2023)
Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman
ROSARL: Reward-Only Safe Reinforcement Learning. CoRR (2023)
Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization. CoRR (2023)
Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James
Hierarchically Composing Level Generators for the Creation of Complex Structures. CoRR (2023)
Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS (2023)
Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn
Augmentative Topology Agents For Open-Ended Learning. GECCO Companion (2023)
Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse
Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. CoRR (2023)
Nishai Kooverjee, Steven James, Terence L. van Zyl
Investigating Transfer Learning in Graph Neural Networks. CoRR (2022)
Nicholas Muir, Steven James
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. CoRR (2022)
Michael Beukman, Steven James, Christopher W. Cleghorn
Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR (2022)
Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR (2022)
Michael Beukman, Christopher W. Cleghorn, Steven James
Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO (2022)
Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris
Adaptive Online Value Function Approximation with Wavelets. CoRR (2022)
Michael Beukman, Christopher W. Cleghorn, Steven James
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels. CoRR (2022)
Geraud Nangue Tasse, Steven James, Benjamin Rosman
Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR (2022)
Nathan Michlo, Devon Jarvis, Richard Klein, Steven James
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. CoRR (2022)
Geraud Nangue Tasse, Benjamin Rosman, Steven James
World Value Functions: Knowledge Representation for Learning and Planning. CoRR (2022)
Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR (2022)
Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher Wesley Cleghorn
Augmentative Topology Agents For Open-Ended Learning. CoRR (2022)
Steven James, Benjamin Rosman, George Konidaris
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR (2022)
Nathan Michlo, Steven James, Richard Klein
Data Overlap: A Prerequisite For Disentanglement. CoRR (2022)
Nishai Kooverjee, Steven James, Terence L. van Zyl
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. CoRR (2020)
Kimessha Paupamah, Steven James, Richard Klein
Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR (2020)
Steven James
Learning Portable Symbolic Representations. IJCAI (2018)