113 citations · 265 across the 10 of their papers we have counts for
3 papers · 1 filter
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
Jiachen Yang, Igor Borovikov, Hongyuan Zha
Human players in professional team sports achieve high level coordination by dynamically choosing complementary skills and executing primitive actions to perform these skills. As a…
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang, Brenden Petersen, Hongyuan Zha +1
Transfer and adaptation to new unknown environmental dynamics is a key challenge for reinforcement learning (RL). An even greater challenge is performing near-optimally in a single…
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Zhi Zhang, Jiachen Yang, Hongyuan Zha
Traffic congestion in metropolitan areas is a world-wide problem that can be ameliorated by traffic lights that respond dynamically to real-time conditions. Recent studies applying…