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Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks

Mar 25, 2021
Pin Wang, Hanhan Li, Ching-Yao Chan

* 2021 International Conference on Robotics and Automation (ICRA 2021) 

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Unsupervised Monocular Depth Learning in Dynamic Scenes

Nov 07, 2020
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova

* Accepted at 4th Conference on Robot Learning (CoRL 2020) 

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Fine-Grained Stochastic Architecture Search

Jun 17, 2020
Shraman Ray Chaudhuri, Elad Eban, Hanhan Li, Max Moroz, Yair Movshovitz-Attias

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Adversarially Robust Frame Sampling with Bounded Irregularities

Feb 04, 2020
Hanhan Li, Pin Wang

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Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles

Nov 29, 2019
Pin Wang, Hanhan Li, Ching-Yao Chan

* Machine Learning for Autonomous Driving Workshop on NeurIPS, 2019 

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Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm

Jun 05, 2019
Pin Wang, Hanhan Li, Ching-Yao Chan

* Published at the 30th IEEE Intelligent Vehicles Symposium (IV), 2019 

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EnsembleNet: End-to-End Optimization of Multi-headed Models

May 24, 2019
Hanhan Li, Joe Yue-Hei Ng, Paul Natsev

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Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

Apr 10, 2019
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova

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Automated Driving Maneuvers under Interactive Environment based on Deep Reinforcement Learning

Jan 24, 2019
Pin Wang, Ching-Yao Chan, Hanhan Li

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