6 citations · 11 across the 7 of their papers we have counts for
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cs.LG2022★ 2 cited
Meta Reinforcement Learning with Successor Feature Based Context
Xu Han, Feng Wu
Most reinforcement learning (RL) methods only focus on learning a single task from scratch and are not able to use prior knowledge to learn other tasks more effectively. Context-ba…
cs.LG2022★ 2 cited
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards
Yixiang Wang, Yujing Hu, Feng Wu +1
Reward design is a critical part of the application of reinforcement learning, the performance of which strongly depends on how well the reward signal frames the goal of the design…
cs.MA2022★ 6 cited
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control
Jinming Ma, Feng Wu
Multi-agent reinforcement learning (MARL) has been applied and shown great potential in multi-intersections traffic signal control, where multiple agents, one for each intersection…