Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments

23 Feb 2018 Yan Zheng Jianye Hao Zongzhang Zhang

Recently, multiagent deep reinforcement learning (DRL) has received increasingly wide attention. Existing multiagent DRL algorithms are inefficient when facing with the non-stationarity due to agents update their policies simultaneously in stochastic cooperative environments... (read more)

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Methods used in the Paper


METHOD TYPE
Experience Replay
Replay Memory
Double Q-learning
Off-Policy TD Control
Q-Learning
Off-Policy TD Control
Double DQN
Q-Learning Networks
Dense Connections
Feedforward Networks
Convolution
Convolutions
DQN
Q-Learning Networks