Selected Publications

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


Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning

Dailin Hu, Pieter Abbeel, and Roy Fox

Deep Reinforcement Learning workshop (DRL @ NeurIPS), 2021


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


Modular Framework for Visuomotor Language Grounding

Kolby Nottingham, Litian Liang, Daeyun Shin, Charless Fowlkes, Roy Fox, and Sameer Singh

Embodied AI workshop (EmbodiedAI @ CVPR), 2021


Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games

Stephen McAleer*, JB Lanier*, Roy Fox, and Pierre Baldi

34th Conference on Neural Information Processing Systems (NeurIPS), 2020


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