Steven James - RankMe

55 papers A* 11A 2Misc 1Journal 40Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mortar: Evolving Mechanics for Automatic Game Design. CoRR Muhammad Umair Nasir, Yuchen Li, Steven James, Julian Togelius
2026	J	`jnl`	Unsupervised Hierarchical Skill Discovery. CoRR Damion Harvey, Geraud Nangue Tasse, Branden Ingram, Benjamin Rosman, Steven James
2025	J	`jnl`	Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning. J. Artif. Intell. Res. Geraud Nangue Tasse, Steven James, Benjamin Rosman
2025	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond J. Mooney, Benjamin Rosman
2025	J	`jnl`	Strengthening Robotics and Automation in Africa: Highlights of ICRA@40-Africa [Education]. IEEE Robotics Autom. Mag. Ndivhuwo Makondo, Paul Amayo, Jenalea Rajab, Lifhasi Ramulondi, Steven James, Alexandra Barry, Adam Mukuddem, Thabisa Maweni, Tamlin Love, Geraud Nangue Tasse, Zimkhitha Sijovu, Belinda Matebese, Benjamin Rosman
2025	J	`jnl`	Word2Minecraft: Generating 3D Game Levels through Large Language Models. CoRR Shuo Huang, Muhammad Umair Nasir, Steven James, Julian Togelius
2024	J	`jnl`	Compositional Instruction Following with Language Models and Reinforcement Learning. Trans. Mach. Learn. Res. Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Raymond Mooney, Benjamin Rosman
2024	A*	`conf`	GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps. NeurIPS Muhammad Umair Nasir, Steven James, Julian Togelius
2024	J	`jnl`	GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps. CoRR Muhammad Umair Nasir, Steven James, Julian Togelius
2024	J	`jnl`	Hierarchically Composing Level Generators for the Creation of Complex Structures. IEEE Trans. Games Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James
2024	A	`conf`	LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. GECCO Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
2024	J	`jnl`	MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. J. Electronic Imaging David Torpey, Max Parkin, Jonah Alter, Richard Klein, Steven James
2024	A*	`conf`	Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. ICLR Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
2024	J	`jnl`	Word2World: Generating Stories and Worlds through Large Language Models. CoRR Muhammad Umair Nasir, Steven James, Julian Togelius
2023	—	`conf`	Augmentative Topology Agents For Open-Ended Learning. GECCO Companion Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn
2023	J	`jnl`	Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. Adam Pacheck, Steven James, George Dimitri Konidaris, Hadas Kress-Gazit
2023	J	`jnl`	Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. CoRR Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse
2023	A*	`conf`	Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
2023	J	`jnl`	Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
2023	J	`jnl`	Hierarchically Composing Level Generators for the Creation of Complex Structures. CoRR Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James
2023	J	`jnl`	LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization. CoRR Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
2023	J	`jnl`	MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. CoRR William Hill, Ireton Liu, Anita de Mello Koch, Damion Harvey, George Konidaris, Steven James
2023	A*	`conf`	Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI Nathan Michlo, Richard Klein, Steven James
2023	J	`jnl`	ROSARL: Reward-Only Safe Reinforcement Learning. CoRR Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman
2023	Misc	`conf`	Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris
2022	J	`jnl`	Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. CoRR Nathan Michlo, Devon Jarvis, Richard Klein, Steven James
2022	J	`jnl`	Adaptive Online Value Function Approximation with Wavelets. CoRR Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris
2022	J	`jnl`	Augmentative Topology Agents For Open-Ended Learning. CoRR Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher Wesley Cleghorn
2022	J	`jnl`	Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit
2022	A*	`conf`	Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR Steven James, Benjamin Rosman, George Konidaris
2022	J	`jnl`	Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. CoRR Nicholas Muir, Steven James
2022	J	`jnl`	Data Overlap: A Prerequisite For Disentanglement. CoRR Nathan Michlo, Steven James, Richard Klein
2022	A*	`conf`	Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR Geraud Nangue Tasse, Steven James, Benjamin Rosman
2022	J	`jnl`	Investigating Transfer Learning in Graph Neural Networks. CoRR Nishai Kooverjee, Steven James, Terence L. van Zyl
2022	J	`jnl`	Learning Abstract and Transferable Representations for Planning. CoRR Steven James, Benjamin Rosman, George Dimitri Konidaris
2022	J	`jnl`	Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels. CoRR Michael Beukman, Christopher W. Cleghorn, Steven James
2022	A	`conf`	Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO Michael Beukman, Christopher W. Cleghorn, Steven James
2022	J	`jnl`	Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
2022	J	`jnl`	Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR Michael Beukman, Steven James, Christopher W. Cleghorn
2022	J	`jnl`	World Value Functions: Knowledge Representation for Learning and Planning. CoRR Geraud Nangue Tasse, Benjamin Rosman, Steven James
2022	J	`jnl`	World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. CoRR Geraud Nangue Tasse, Steven James, Benjamin Rosman
2021	J	`jnl`	Learning to Follow Language Instructions with Compositional Policies. CoRR Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman
2020	A*	`conf`	A Boolean Task Algebra for Reinforcement Learning. NeurIPS Geraud Nangue Tasse, Steven James, Benjamin Rosman
2020	J	`jnl`	A Boolean Task Algebra for Reinforcement Learning. CoRR Geraud Nangue Tasse, Steven James, Benjamin Rosman
2020	J	`jnl`	If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon
2020	J	`jnl`	Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. CoRR Nishai Kooverjee, Steven James, Terence L. van Zyl
2020	J	`jnl`	Learning Options from Demonstration using Skill Segmentation. CoRR Matthew Cockcroft, Shahil Mawjee, Steven James, Pravesh Ranchod
2020	A*	`conf`	Learning Portable Representations for High-Level Planning. ICML Steven James, Benjamin Rosman, George Konidaris
2020	J	`jnl`	Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR Kimessha Paupamah, Steven James, Richard Klein
2019	A*	`conf`	Composing Value Functions in Reinforcement Learning. ICML Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman
2019	J	`jnl`	If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon
2019	J	`jnl`	Learning Portable Representations for High-Level Planning. CoRR Steven James, Benjamin Rosman, George Dimitri Konidaris
2018	A*	`conf`	Learning Portable Symbolic Representations. IJCAI Steven James
2018	J	`jnl`	Will it Blend? Composing Value Functions in Reinforcement Learning. CoRR Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman
2017	A*	`conf`	An Analysis of Monte Carlo Tree Search. AAAI Steven James, George Dimitri Konidaris, Benjamin Rosman