An Analysis of Monte Carlo Tree Search. - Steven James 001; George Dimitri Konidaris; Benjamin Rosman (AAAI, 2017)

Learning Portable Symbolic Representations. - Steven James 001 (IJCAI, 2018)

Will it Blend? Composing Value Functions in Reinforcement Learning. - Benjamin van Niekerk; Steven James 001; Adam Christopher Earle; Benjamin Rosman (CoRR, 2018)

Composing Value Functions in Reinforcement Learning. - Benjamin van Niekerk; Steven James 001; Adam Christopher Earle; Benjamin Rosman (ICML, 2019)

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. - Craig J. Bester; Steven D. James; George Dimitri Konidaris (CoRR, 2019)

Learning Portable Representations for High-Level Planning. - Steven James 001; Benjamin Rosman; George Konidaris 001 (ICML, 2020)

A Boolean Task Algebra for Reinforcement Learning. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (NeurIPS, 2020)

Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. - Nishai Kooverjee; Steven James 001; Terence L. van Zyl (CoRR, 2020)

Quantisation and Pruning for Neural Network Compression and Regularisation. - Kimessha Paupamah; Steven James 001; Richard Klein (CoRR, 2020)

Learning Options from Demonstration using Skill Segmentation. - Matthew Cockcroft; Shahil Mawjee; Steven James 001; Pravesh Ranchod (CoRR, 2020)

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. - Arnu Pretorius; Elan Van Biljon; Benjamin van Niekerk; Ryan Eloff; Matthew Reynard; Steven James 001; Benjamin Rosman; Herman Kamper; Steve Kroon (Pattern Recognit. Lett., 2020)

Learning to Follow Language Instructions with Compositional Policies. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Benjamin Rosman (CoRR, 2021)

Procedural content generation using neuroevolution and novelty search for diverse video game levels. - Michael Beukman; Christopher W. Cleghorn; Steven James 001 (GECCO, 2022)

Autonomous Learning of Object-Centric Abstractions for High-Level Planning. - Steven James 001; Benjamin Rosman; George Konidaris 001 (ICLR, 2022)

Generalisation in Lifelong Reinforcement Learning through Logical Composition. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (ICLR, 2022)

Towards Objective Metrics for Procedurally Generated Video Game Levels. - Michael Beukman; Steven James 001; Christopher W. Cleghorn (CoRR, 2022)

Investigating Transfer Learning in Graph Neural Networks. - Nishai Kooverjee; Steven James 001; Terence L. van Zyl (CoRR, 2022)

Data Overlap: A Prerequisite For Disentanglement. - Nathan Michlo; Steven James 001; Richard Klein (CoRR, 2022)

Adaptive Online Value Function Approximation with Wavelets. - Michael Beukman; Michael Mitchley; Dean S. Wookey; Steven James 001; George Konidaris 001 (CoRR, 2022)

Learning Abstract and Transferable Representations for Planning. - Steven James 001; Benjamin Rosman; George Dimitri Konidaris (CoRR, 2022)

Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. - Nathan Michlo; Devon Jarvis; Richard Klein; Steven James 001 (CoRR, 2022)

World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (CoRR, 2022)

Skill Machines: Temporal Logic Composition in Reinforcement Learning. - Geraud Nangue Tasse; Devon Jarvis; Steven James 001; Benjamin Rosman (CoRR, 2022)

World Value Functions: Knowledge Representation for Learning and Planning. - Geraud Nangue Tasse; Benjamin Rosman; Steven James 001 (CoRR, 2022)

Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. - Nicholas Muir; Steven James 001 (CoRR, 2022)

Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. - Eric Rosen; Steven James 001; Sergio Orozco; Vedant Gupta; Max Merlin; Stefanie Tellex; George Konidaris 001 (CoRL, 2023)

Augmentative Topology Agents For Open-Ended Learning. - Muhammad Umair Nasir; Michael Beukman; Steven James 001; Christopher W. Cleghorn (GECCO Companion, 2023)

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. - Nathan Michlo; Richard Klein; Steven James 001 (IJCAI, 2023)

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. - Michael Beukman; Devon Jarvis; Richard Klein; Steven James 001; Benjamin Rosman (NeurIPS, 2023)

ROSARL: Reward-Only Safe Reinforcement Learning. - Geraud Nangue Tasse; Tamlin Love; Mark Nemecek; Steven James 001; Benjamin Rosman (CoRR, 2023)

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. - Tristan Bester; Benjamin Rosman; Steven James 001; Geraud Nangue Tasse (CoRR, 2023)

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. - William Hill; Ireton Liu; Anita de Mello Koch; Damion Harvey; George Konidaris 001; Steven James 001 (CoRR, 2023)

Automatic encoding and repair of reactive high-level tasks with learned abstract representations. - Adam Pacheck; Steven James 001; George Dimitri Konidaris; Hadas Kress-Gazit (Int. J. Robotics Res., 2023)

LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. - Muhammad Umair Nasir; Sam Earle; Julian Togelius; Steven James 001; Christopher W. Cleghorn (GECCO, 2024)

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. - Geraud Nangue Tasse; Devon Jarvis; Steven James 001; Benjamin Rosman (ICLR, 2024)

GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps. - Muhammad Umair Nasir; Steven James 001; Julian Togelius (NeurIPS, 2024)

Word2World: Generating Stories and Worlds through Large Language Models. - Muhammad Umair Nasir; Steven James 001; Julian Togelius (CoRR, 2024)

MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. - David Torpey; Max Parkin; Jonah Alter; Richard Klein; Steven James 001 (Adv. Math. Commun., 2024)

Compositional Instruction Following with Language Models and Reinforcement Learning. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Raymond Mooney; Benjamin Rosman (Trans. Mach. Learn. Res., 2024)

Hierarchically Composing Level Generators for the Creation of Complex Structures. - Michael Beukman; Manuel Fokam; Marcel Kruger; Guy Axelrod; Muhammad Umair Nasir; Branden Ingram; Benjamin Rosman; Steven James 001 (IEEE Trans. Games, 2024)

Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (J. Artif. Intell. Res., 2025)

Word2Minecraft: Generating 3D Game Levels through Large Language Models. - Shuo Huang 002; Muhammad Umair Nasir; Steven James 001; Julian Togelius (CoRR, 2025)

Strengthening Robotics and Automation in Africa: Highlights of ICRA@40-Africa [Education]. - Ndivhuwo Makondo; Paul Amayo; Jenalea Rajab; Lifhasi Ramulondi; Steven James 001; Alexandra Barry; Adam Mukuddem; Thabisa Maweni; Tamlin Love; Geraud Nangue Tasse; Zimkhitha Sijovu; Belinda Matebese; et al. (IEEE Robotics Autom. Mag., 2025)