Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

Oct 15, 2020
Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert, Ding Zhao

* 9 pages, 6 figures 

  Access Paper or Ask Questions

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

Sep 25, 2020
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao

* 8 pages, 7 figures 

  Access Paper or Ask Questions

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

Jul 30, 2020
Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao

* 6 pages, accepted at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020) 

  Access Paper or Ask Questions

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

Jun 29, 2020
Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao

* 16 pages, 6 figures 

  Access Paper or Ask Questions

Delay-Aware Multi-Agent Reinforcement Learning

May 11, 2020
Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao


  Access Paper or Ask Questions

Delay-Aware Model-Based Reinforcement Learning for Continuous Control

May 11, 2020
Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao


  Access Paper or Ask Questions

Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios

Apr 14, 2020
Baiming Chen, Liang Li


  Access Paper or Ask Questions

Evaluation of Automated Vehicles Encountering Pedestrians at Unsignalized Crossings

Mar 28, 2017
Baiming Chen, Ding Zhao, Huei Peng


  Access Paper or Ask Questions