Selected Publications
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
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
AutoPandas: Neural-Backed Generators for Program Synthesis
Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, and Ion Stoica
10th ACM SIGPLAN Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH OOPSLA), 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