James, Steven

18 publications

JAIR 2025 Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning Geraud Nangue Tasse, Steven James, Benjamin Rosman

NeurIPS 2025 Skill-Driven Neurosymbolic State Abstractions Alper Ahmetoglu, Steven James, Cameron Allen, Sam Lobel, David Abel, George Konidaris

TMLR 2024 Compositional Instruction Following with Language Models and Reinforcement Learning Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew Gombolay, Ray Mooney, Benjamin Rosman

NeurIPS 2024 GameTraversalBenchmark: Evaluating Planning Abilities of Large Language Models Through Traversing 2D Game Maps Muhammad Umair Nasir, Steven James, Julian Togelius

ICLR 2024 Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman

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

IJCAI 2023 Overlooked Implications of the Reconstruction Loss for VAE Disentanglement Nathan Michlo, Richard Klein, Steven James

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

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

ICLR 2022 Generalisation in Lifelong Reinforcement Learning Through Logical Composition Geraud Nangue Tasse, Steven James, Benjamin Rosman

NeurIPSW 2022 Skill Machines: Temporal Logic Composition in Reinforcement Learning Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman

NeurIPSW 2021 Generalisation in Lifelong Reinforcement Learning Through Logical Composition Geraud Nangue Tasse, Steven James, Benjamin Rosman

NeurIPS 2020 A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse, Steven James, Benjamin Rosman

ICML 2020 Learning Portable Representations for High-Level Planning Steven James, Benjamin Rosman, George Konidaris

ICMLW 2020 Logical Composition in Lifelong Reinforcement Learning Geraud Nangue Tasse, Steven James, Benjamin Rosman

ICML 2019 Composing Value Functions in Reinforcement Learning Benjamin Van Niekerk, Steven James, Adam Earle, Benjamin Rosman

IJCAI 2018 Learning Portable Symbolic Representations Steven James

AAAI 2017 An Analysis of Monte Carlo Tree Search Steven James, George Dimitri Konidaris, Benjamin Rosman