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ray-2.7.1
ray-2.7.0
ray-2.6.3
ray-2.6.2
ray-2.6.1
ray-2.6.0
ray-2.5.1
ray-2.5.0
ray-2.4.0
ray-2.3.1
ray-2.3.0
ray-2.2.0
ray-2.1.0
ray-2.0.1
ray-2.0.0
1.13.1
ray-1.13.1
ray-1.13.0
ray-1.12.1
ray-1.11.1
ray-1.12.0
1.12.0
ray-1.11.0
ray-1.10.0
ray-1.9.2
ray-1.9.1
ray-1.9.0
ray-1.8.0
ray-1.7.1
ray-1.7.0
ray-1.6.0
ray-1.5.2
ray-1.5.1
ray-1.5.0
ray-1.4.1
ray-1.4.0
ray-1.3.0
ray-1.2.0
ray-1.1.0
ray-1.0.1.post1
ray-1.0.1
ray-1.0.0
ray-0.8.7
ray-0.8.6
ray-0.8.5
ray-0.8.4
ray-0.8.3
ray-0.8.2
ray-0.8.1
ray-0.8.0
ray-0.7.7
ray-0.7.6
ray-0.7.5
0.7.5
ray-0.7.4
ray-0.7.3
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ray-0.7.1
ray-0.7.0
ray-0.6.6
ray-0.6.5
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ray-0.6.1
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ray-0.5.2
ray-0.5.1
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ray-0.3.1
ray-0.3.0
ray-0.2.2
ray-0.2.1
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ray-0.1.1
ray-0.1.0
Max van Dijck
232c331ce3
[RLlib] Rename all np.product usage to np.prod (#46317)
|
3 月之前 | |
|---|---|---|
| .. | ||
| examples | 627023bf08 [rllib-contrib] add R2d2 to RLlib contrib (#36473) | 1 年之前 |
| src | 627023bf08 [rllib-contrib] add R2d2 to RLlib contrib (#36473) | 1 年之前 |
| tests | 627023bf08 [rllib-contrib] add R2d2 to RLlib contrib (#36473) | 1 年之前 |
| tuned_examples | a9ac55d4f2 [RLlib; RLlib contrib] Move `tuned_examples` into rllib_contrib and remove CI learning tests for contrib algos. (#40444) | 1 年之前 |
| BUILD | a9ac55d4f2 [RLlib; RLlib contrib] Move `tuned_examples` into rllib_contrib and remove CI learning tests for contrib algos. (#40444) | 1 年之前 |
| README.md | 627023bf08 [rllib-contrib] add R2d2 to RLlib contrib (#36473) | 1 年之前 |
| pyproject.toml | 232c331ce3 [RLlib] Rename all np.product usage to np.prod (#46317) | 3 月之前 |
| requirements.txt | 232c331ce3 [RLlib] Rename all np.product usage to np.prod (#46317) | 3 月之前 |
README.md
R2D2 (Recurrent Experience Replay In Distributed Reinforcement Learning)
R2D2 is a version of DQN that is adapted to enable RNN based policies.
Installation
conda create -n rllib-r2d2 python=3.10
conda activate rllib-r2d2
pip install -r requirements.txt
pip install -e '.[development]'
Usage
[R2D2 Example]()