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About Rlpyt: A Research Code Base For Deep Reinforcement Learning in Pytorch
rlpyt is a research code base for deep reinforcement learning algorithms implemented in PyTorch. It contains modular implementations of common deep RL algorithms like DQN, DDPG, PPO, and more. rlpyt allows these algorithms to be run with different configurations, such as serial, parallel CPU/GPU sampling, and synchronous/asynchronous optimization. It is designed for small to medium scale research and achieves high performance through parallel computing infrastructure and optimizations. rlpyt provides a comprehensive open source resource for deep RL researchers.
Detailed Information
| Author: | ['Aakash Khandelwal'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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