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Steven James 0001
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- affiliation: University of the Witwatersrand, Johannesburg, South Africa
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2020 – today
- 2024
- [j4]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) - [j3]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): 459-469 (2024) - [c14]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 - [c13]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. ICLR 2024 - [i29]Muhammad Umair Nasir, Steven James, Julian Togelius:
Word2World: Generating Stories and Worlds through Large Language Models. CoRR abs/2405.06686 (2024) - 2023
- [j2]Adam Pacheck
, Steven James
, George Dimitri Konidaris, Hadas Kress-Gazit:
Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. 42(4-5): 263-288 (2023) - [c12]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 - [c11]Muhammad Umair Nasir
, Michael Beukman
, Steven James
, Christopher W. Cleghorn
:
Augmentative Topology Agents For Open-Ended Learning. GECCO Companion 2023: 671-674 - [c10]Nathan Michlo, Richard Klein, Steven James:
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI 2023: 4073-4081 - [c9]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS 2023 - [i28]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) - [i27]Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman:
ROSARL: Reward-Only Safe Reinforcement Learning. CoRR abs/2306.00035 (2023) - [i26]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) - [i25]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) - [i24]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) - [i23]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
- [c8]Michael Beukman
, Christopher W. Cleghorn, Steven James:
Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO 2022: 1028-1037 - [c7]Steven James, Benjamin Rosman, George Konidaris:
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR 2022 - [c6]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR 2022 - [i22]Michael Beukman, Steven James, Christopher W. Cleghorn:
Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR abs/2201.10334 (2022) - [i21]Nishai Kooverjee, Steven James, Terence L. van Zyl:
Investigating Transfer Learning in Graph Neural Networks. CoRR abs/2202.00740 (2022) - [i20]Nathan Michlo, Steven James, Richard Klein:
Data Overlap: A Prerequisite For Disentanglement. CoRR abs/2202.13341 (2022) - [i19]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) - [i18]Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit:
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR abs/2204.08327 (2022) - [i17]Michael Beukman
, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris:
Adaptive Online Value Function Approximation with Wavelets. CoRR abs/2204.11842 (2022) - [i16]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Abstract and Transferable Representations for Planning. CoRR abs/2205.02092 (2022) - [i15]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) - [i14]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. CoRR abs/2205.08827 (2022) - [i13]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR abs/2205.12532 (2022) - [i12]Geraud Nangue Tasse, Benjamin Rosman, Steven James:
World Value Functions: Knowledge Representation for Learning and Planning. CoRR abs/2206.11940 (2022) - [i11]Nicholas Muir, Steven James:
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. CoRR abs/2207.14772 (2022) - [i10]Muhammad Umair Nasir
, Michael Beukman, Steven James, Christopher Wesley Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. CoRR abs/2210.11442 (2022) - 2021
- [i9]Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman:
Learning to Follow Language Instructions with Compositional Policies. CoRR abs/2110.04647 (2021) - 2020
- [j1]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James
, Benjamin Rosman
, Herman Kamper
, Steve Kroon
:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138: 95-105 (2020) - [c5]Steven James, Benjamin Rosman, George Konidaris:
Learning Portable Representations for High-Level Planning. ICML 2020: 4682-4691 - [c4]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. NeurIPS 2020 - [i8]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) - [i7]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. CoRR abs/2001.01394 (2020) - [i6]Kimessha Paupamah, Steven James, Richard Klein:
Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR abs/2001.04850 (2020) - [i5]Matthew Cockcroft, Shahil Mawjee, Steven James, Pravesh Ranchod:
Learning Options from Demonstration using Skill Segmentation. CoRR abs/2001.06793 (2020)
2010 – 2019
- 2019
- [c3]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Composing Value Functions in Reinforcement Learning. ICML 2019: 6401-6409 - [i4]Craig J. Bester, Steven D. James
, George Dimitri Konidaris:
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. CoRR abs/1905.04388 (2019) - [i3]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Portable Representations for High-Level Planning. CoRR abs/1905.12006 (2019) - [i2]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR abs/1910.05725 (2019) - 2018
- [c2]Steven James:
Learning Portable Symbolic Representations. IJCAI 2018: 5765-5766 - [i1]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Will it Blend? Composing Value Functions in Reinforcement Learning. CoRR abs/1807.04439 (2018) - 2017
- [c1]Steven James, George Dimitri Konidaris, Benjamin Rosman:
An Analysis of Monte Carlo Tree Search. AAAI 2017: 3576-3582
Coauthor Index
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last updated on 2024-08-08 20:10 CEST by the dblp team
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