149 citations · 360 across the 29 of their papers we have counts for
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cs.GT2021★ 4 cited
Empirical Policy Optimization for -Player Markov Games
Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao +1
In single-agent Markov decision processes, an agent can optimize its policy based on the interaction with environment. In multi-player Markov games (MGs), however, the interaction…
cs.AI2021
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
Yuqi Liu, Qichao Zhang, Dongbin Zhao
In recent years, control under urban intersection scenarios becomes an emerging research topic. In such scenarios, the autonomous vehicle confronts complicated situations since it…
cs.LG2021
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
Junjie Wang, Qichao Zhang, Dongbin Zhao
The development of autonomous driving has attracted extensive attention in recent years, and it is essential to evaluate the performance of autonomous driving. However, testing on…