Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning.
Jifeng HuYanchao SunHechang ChenSili HuangHaiyin PiaoYi ChangLichao SunPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- cooperative
- state space
- multi agent systems
- dynamic programming
- reward function
- model free
- optimal policy
- intelligent agents
- accurate estimation
- average reward
- reinforcement learning algorithms
- deep learning
- multi agent reinforcement learning
- state action
- machine learning
- action selection
- markov decision processes
- multiagent systems
- co occurrence
- supervised learning
- learning process
- learning algorithm