Multi-Robot Cooperative Pursuit-Evasion Control: A DeepReinforcement Learning Approach based on Prioritized Experience Replay
Author:
Affiliation:
1. School of Artificial Intelligence, Henan University, China
2. School of Artificial Intelligence,, Henan University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3640824.3640843
Reference28 articles.
1. Johann J.H. Ackermann, Volker Gabler, Takayuki Osa, and Masashi Sugiyama. 2019. Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics. ArXiv abs/1910.01465 (2019). https://api.semanticscholar.org/CorpusID:203642167
2. Decentralized Multi-Agent Pursuit Using Deep Reinforcement Learning
3. Dongyu Fan, Haikuo Shen, and Lijing Dong. 2021. Multi-Agent Distributed Deep Deterministic Policy Gradient for Partially Observable Tracking. Actuators (2021). https://api.semanticscholar.org/CorpusID:244581930
4. Cooperative Pursuit With Multi-Pursuer and One Faster Free-Moving Evader
5. Pursuit Differential Game of Many Pursuers with Integral Constraints on Compact Convex Set;Ferrara Massimiliano;Bulletin of the Malaysian Mathematical Sciences Society,2020
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