Massively Parallel Methods for Deep Reinforcement Learning
We present the first massively distributed architecture for deep reinforcement learning. This architecture uses four main components: parallel actors that generate new behaviour...
Publications
1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 405
- Institution
- Google (United States)
External Links
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- ORCID
- 0000-0001-9669-514X
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.