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Max van Dijck
232c331ce3
[RLlib] Rename all np.product usage to np.prod (#46317)
|
3 月之前 | |
|---|---|---|
| .. | ||
| examples | 0e41f893a5 [RLlib-contrib] ddpg (#36259) | 1 年之前 |
| src | 232c331ce3 [RLlib] Rename all np.product usage to np.prod (#46317) | 3 月之前 |
| tests | 0e41f893a5 [RLlib-contrib] ddpg (#36259) | 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 |
| pyproject.toml | 0e41f893a5 [RLlib-contrib] ddpg (#36259) | 1 年之前 |
| readme.md | 0e41f893a5 [RLlib-contrib] ddpg (#36259) | 1 年之前 |
| requirements.txt | 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
DDPG (Deep Deterministic Policy Gradient)
DDPG is an actor-critic, model-free algorithm based on the deterministic policy gradient that can operate over continuous action spaces.
Installation
conda create -n rllib-ddpg python=3.10
conda activate rllib-ddpg
pip install -r requirements.txt
pip install -e '.[development]'