mohmdelsayed / streaming-drl
Deep reinforcement learning without experience replay, target networks, or batch updates.
Why this job: says: reinforcement learning; topics: reinforcement-learning
What it does
Stream-X algorithms learn directly from their stream of experience. Here we include implementation of Stream-AC, Stream-RAC, Stream-Q, and Stream-SARSA.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 49 days ago
- Stars
- 303
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-learning
- deep-reinforcement-learning
- neural-networks
- reinforcement-learning
- machine-learning
Project record
- JobFine-tuning
- StatusListed
- Commits18
- Forks36
- Watching6
- Stars in 28 days+5
- CreatedNov 10, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026