Selected Publications
Selective Perception: Learning Concise State Descriptions for Language Model Actors
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, and Sameer Singh
Foundation Models for Decision Making workshop (FMDM @ NeurIPS), 2023
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, and Roy Fox
40th International Conference on Machine Learning (ICML), 2023
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier, Stephen McAleer, Pierre Baldi, and Roy Fox
Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, and Roy Fox
39th International Conference on Machine Learning (ICML), 2022
Independent Natural Policy Gradient Always Converges in Markov Potential Games
Roy Fox, Stephen McAleer, William Overman, and Ioannis Panageas
25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer, JB Lanier, Kevin Wang, Pierre Baldi, and Roy Fox
35th Conference on Neural Information Processing Systems (NeurIPS), 2021
Hierarchical Variational Imitation Learning of Control Programs
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, and Ion Stoica
arXiv:1912.12612, 2019
Multi-Task Hierarchical Imitation Learning for Home Automation
Roy Fox*, Ron Berenstein*, Ion Stoica, and Ken Goldberg
15th IEEE Conference on Automation Science and Engineering (CASE), 2019