Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees. - Jianhui Chen; Hoang Minh Le 002; Peter Carr 001; Yisong Yue; James J. Little (CVPR, 2016)

Smooth Imitation Learning for Online Sequence Prediction. - Hoang Minh Le 002; Andrew Kang; Yisong Yue; Peter Carr 001 (ICML, 2016)

Coordinated Multi-Agent Imitation Learning. - Hoang Minh Le 002; Yisong Yue; Peter Carr 001; Patrick Lucey (ICML, 2017)

Coordinated Multi-Agent Imitation Learning. - Hoang Minh Le 002; Yisong Yue; Peter Carr 001 (CoRR, 2017)

Hierarchical Imitation and Reinforcement Learning. - Hoang Minh Le 002; Nan Jiang 008; Alekh Agarwal; Miroslav Dudík; Yisong Yue; Hal Daumé III (ICML, 2018)

A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. - Andrew J. Taylor; Victor D. Dorobantu; Meera Krishnamoorthy; Hoang Minh Le 002; Yisong Yue; Aaron D. Ames (CDC, 2019)

Batch Policy Learning under Constraints. - Hoang Minh Le 002; Cameron Voloshin; Yisong Yue (ICML, 2019)

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems*. - Andrew J. Taylor; Victor D. Dorobantu; Hoang Minh Le 002; Yisong Yue; Aaron D. Ames (IROS, 2019)

Imitation-Projected Programmatic Reinforcement Learning. - Abhinav Verma 001; Hoang Minh Le 002; Yisong Yue; Swarat Chaudhuri (NeurIPS, 2019)

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. - Andrew J. Taylor; Victor D. Dorobantu; Hoang Minh Le 002; Yisong Yue; Aaron D. Ames (CoRR, 2019)

Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning. - Abhinav Verma 001; Hoang Minh Le 002; Yisong Yue; Swarat Chaudhuri (CoRR, 2019)

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. - Cameron Voloshin; Hoang Minh Le 002; Nan Jiang 008; Yisong Yue (NeurIPS Datasets and Benchmarks, 2021)

Policy Optimization with Linear Temporal Logic Constraints. - Cameron Voloshin; Hoang Minh Le 002; Swarat Chaudhuri; Yisong Yue (NeurIPS, 2022)