Twin Delayed Multi-Agent Deep Deterministic Policy Gradient

Author:

Zhan Mengying1,Chen Jinchao1,Du Chenglie1,Duan Yuxin2

Affiliation:

1. Northwestern Polytechnical University,Department of Computer Science,Xi’an,China

2. Science and Technology on Special System Simulation Laboratory,Beijing Simulation Center,Beijing,China

Funder

Research and Development

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Publisher

IEEE

Reference24 articles.

1. Early Action Recognition With Category Exclusion Using Policy-Based Reinforcement Learning

2. Free Gait Planning of Hexapod Robot Based on Improved DQN Algorithm

3. Extending q-learning to general adaptive multi-agent systems;tesauro;Advances in neural information processing systems,2004

4. Conjugate markov decision processes;thomas;Proceedings of the 28th International Conference on Machine Learning (ICML-11),2011

5. Policy gradient methods for reinforcement learning with function approximation;sutton;Advances in neural information processing systems,2000

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