Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning.
Yixuan LinShripad GadeRomeil SandhuJi LiuPublished in: ACC (2020)
Keyphrases
- reinforcement learning
- multi agent
- actor critic
- cooperative
- policy iteration
- optimal control
- neural network
- partially observable markov decision processes
- temporal difference
- model free
- function approximation
- multi agent systems
- markov decision processes
- optimal policy
- machine learning algorithms
- control problems
- single agent
- optimization problems
- state space
- rl algorithms