DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents

Author:

Perepu Satheesh Kumar1ORCID,Dey Kaushik1ORCID,Das Abir2ORCID

Affiliation:

1. Ericsson Research, India

2. Indian Institue of Technology Kharagpur, India

Publisher

ACM

Reference38 articles.

1. Daniel  S Bernstein , Robert Givan , Neil Immerman , and Shlomo Zilberstein . 2002. The complexity of decentralized control of Markov decision processes. Mathematics of operations research 27, 4 ( 2002 ), 819–840. Daniel S Bernstein, Robert Givan, Neil Immerman, and Shlomo Zilberstein. 2002. The complexity of decentralized control of Markov decision processes. Mathematics of operations research 27, 4 (2002), 819–840.

2. Deep Multi Agent Reinforcement Learning for Autonomous Driving

3. Marc Brittain and Peng Wei . 2019. Autonomous air traffic controller: A deep multi-agent reinforcement learning approach. arXiv preprint arXiv:1905.01303 ( 2019 ). Marc Brittain and Peng Wei. 2019. Autonomous air traffic controller: A deep multi-agent reinforcement learning approach. arXiv preprint arXiv:1905.01303 (2019).

4. Yiding Chen , Xuezhou Zhang , Kaiqing Zhang , Mengdi Wang , and Xiaojin Zhu . 2023 . Byzantine-robust online and offline distributed reinforcement learning . In International Conference on Artificial Intelligence and Statistics. PMLR, 3230–3269 . Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, and Xiaojin Zhu. 2023. Byzantine-robust online and offline distributed reinforcement learning. In International Conference on Artificial Intelligence and Statistics. PMLR, 3230–3269.

5. Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

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