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cs.LG2023★ 1 cited
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
Jaeyeon Jang, Diego Klabjan, Han Liu +5
This paper proposes a novel multi-agent reinforcement learning (MARL) method to learn multiple coordinated agents under directed acyclic graph (DAG) constraints. Unlike existing MA…
cs.LG2022
Learning to Infer Belief Embedded Communication
Guo Ye, Han Liu, Biswa Sengupta
In multi-agent collaboration problems with communication, an agent's ability to encode their intention and interpret other agents' strategies is critical for planning their future…
cs.LG2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
Binghong Chen, Bo Dai, Qinjie Lin +3
We propose a meta path planning algorithm named \emph{Neural Exploration-Exploitation Trees~(NEXT)} for learning from prior experience for solving new path planning problems in hig…