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Steven James
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2020 – today
- 2024
- [j1]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) - 2023
- [c8]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: 2278-2287 - [c7]Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. GECCO Companion 2023: 671-674 - [c6]Nathan Michlo, Richard Klein, Steven James:
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI 2023: 4073-4081 - [c5]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS 2023 - [i18]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 abs/2302.01561 (2023) - [i17]Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman:
ROSARL: Reward-Only Safe Reinforcement Learning. CoRR abs/2306.00035 (2023) - [i16]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 abs/2306.01102 (2023) - [i15]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR abs/2310.16686 (2023) - [i14]Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse:
Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. CoRR abs/2312.11364 (2023) - [i13]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 abs/2312.12891 (2023) - 2022
- [c4]Michael Beukman, Christopher W. Cleghorn, Steven James:
Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO 2022: 1028-1037 - [c3]Steven James, Benjamin Rosman, George Konidaris:
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR 2022 - [c2]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR 2022 - [i12]Michael Beukman, Steven James, Christopher W. Cleghorn:
Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR abs/2201.10334 (2022) - [i11]Nishai Kooverjee, Steven James, Terence L. van Zyl:
Investigating Transfer Learning in Graph Neural Networks. CoRR abs/2202.00740 (2022) - [i10]Nathan Michlo, Steven James, Richard Klein:
Data Overlap: A Prerequisite For Disentanglement. CoRR abs/2202.13341 (2022) - [i9]Michael Beukman, Christopher W. Cleghorn, Steven James:
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels. CoRR abs/2204.06934 (2022) - [i8]Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris:
Adaptive Online Value Function Approximation with Wavelets. CoRR abs/2204.11842 (2022) - [i7]Nathan Michlo, Devon Jarvis, Richard Klein, Steven James:
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. CoRR abs/2205.06000 (2022) - [i6]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR abs/2205.12532 (2022) - [i5]Geraud Nangue Tasse, Benjamin Rosman, Steven James:
World Value Functions: Knowledge Representation for Learning and Planning. CoRR abs/2206.11940 (2022) - [i4]Nicholas Muir, Steven James:
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. CoRR abs/2207.14772 (2022) - [i3]Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher Wesley Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. CoRR abs/2210.11442 (2022) - 2020
- [i2]Nishai Kooverjee, Steven James, Terence L. van Zyl:
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. CoRR abs/2001.00448 (2020) - [i1]Kimessha Paupamah, Steven James, Richard Klein:
Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR abs/2001.04850 (2020)
2010 – 2019
- 2018
- [c1]Steven James:
Learning Portable Symbolic Representations. IJCAI 2018: 5765-5766
Coauthor Index
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