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