Selected Publications

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 C. 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