Implement Retrace(λ)
Open
enhancement
- Dominant language
- Lua
- Stars
- 263
- Forks
- 72
- PR merge metrics
- No merged PRs in 30d
Description
[Safe and efficient off-policy reinforcement learning](https://arxiv.org/abs/1606.02647) implements this new algorithm with experience replay, but actually uses asynchrononous agents with experience replay for testing (the combination was going to happen soon enough). Which means that this repo is a unique position of having both components already implemented.
Contributor guide
Research direction
Read the linked Retrace paper and inspect the repository’s existing experience-replay and asynchronous-agent components. No files, tests, or entry points are named; done should mean the Retrace algorithm is integrated with those components and its behavior is validated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100