Recurrent Experience Replay in Distributed Reinforcement Learning.
Steven KapturowskiGeorg OstrovskiJohn QuanRémi MunosWill DabneyPublished in: ICLR (Poster) (2019)
Keyphrases
- reinforcement learning
- multi agent
- distributed systems
- function approximation
- distributed environment
- fault tolerant
- dynamic programming
- markov decision processes
- optimal policy
- distributed data
- temporal difference
- learning process
- reinforcement learning algorithms
- cooperative
- distributed architecture
- data mining
- robotic control
- distributed database systems
- databases
- computer networks
- peer to peer
- supervised learning
- multi agent systems
- website
- learning algorithm