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Causal Inference Q-Network: Toward Resilient Reinforcement Learning

Feb 18, 2021
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen

* Preprint. A Non-archival and preliminary venue was accepted to NeurIPS 2019 Safety and Robustness in Decision-making Workshop 

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Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation

Nov 24, 2020
Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

* The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC2020) 
* 8 pages, 8 figures 

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Thompson sampling for linear quadratic mean-field teams

Nov 09, 2020
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang

* Submitted to AISTATS 2021 

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Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning

Feb 20, 2020
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma

* Accepted to IEEE ICASSP 2020 

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Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems

Jan 27, 2020
Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar

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Learning Latent State Spaces for Planning through Reward Prediction

Dec 09, 2019
Aaron Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita

* Deep RL Workshop, Neurips 2019, Vancouver 

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Online Learning in Planar Pushing with Combined Prediction Model

Oct 17, 2019
Huidong Gao, Yi Ouyang, Masayoshi Tomizuka

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Learning Cross-Domain Representation with Multi-Graph Neural Network

May 24, 2019
Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu

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Learning Unknown Markov Decision Processes: A Thompson Sampling Approach

Sep 14, 2017
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain

* Accepted to NIPS 2017 

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