Search Results for author: Jinmin He

Found 2 papers, 1 papers with code

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

no code implementations22 Dec 2023 Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Multi-task reinforcement learning endeavors to accomplish a set of different tasks with a single policy.

Cooperative Multi-Agent Reinforcement Learning with Sequential Credit Assignment

1 code implementation NeurIPS 2021 Yifan Zang, Jinmin He, Kai Li, Lily Cao, Haobo Fu, Qiang Fu, Junliang Xing

In this paper, we propose a cooperative MARL method with sequential credit assignment (SeCA) that deduces each agent's contribution to the team's success one by one to learn better cooperation.

counterfactual Multi-agent Reinforcement Learning +4

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