Write the suggestion for Eleagant_HelloWorld in github issue. One sentence summary: an agent (agent.py) with Actor-Critic networks (net.py) is trained (run.py) by interacting with an environment (env.py). File Structure elegantrl # main folder agents # a collection of DRL algorithms Agent...
Ming and Wang, Zhaoran and Zheng, Jiahao}, title = {{ElegantRL}: Massively Parallel Framework for Cloud-native Deep Reinforcement Learning}, year = {2021}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/AI4Finance-Foundation/ElegantRL}}, } ...
Massively Parallel Deep Reinforcement Learning. 🔥. Contribute to kuychul/ElegantRL development by creating an account on GitHub.
@misc{erl, author = {Liu, Xiao-Yang and Li, Zechu and Wang, Zhaoran and Zheng, Jiahao}, title = {ElegantRL: A Scalable and Elastic Deep Reinforcement Learning Library}, year = {2021}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/AI...
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Write the suggestion for Eleagant_HelloWorld in github issue. One sentence summary: an agent (agent.py) with Actor-Critic networks (net.py) is trained (run.py) by interacting with an environment (env.py). File Structure elegantrl # main folder agents # a collection of DRL algorithms Agent...
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥 - GitHub - andrepattu/ElegantRL: Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
Massively Parallel Deep Reinforcement Learning. 🔥. Contribute to meiko530/ElegantRL development by creating an account on GitHub.
ElegantRL is featured with lightweight, scalable and stable, for researchers and practitioners.Lightweight: The core codes <1,000 lines (check elegantrl/tutorial), using PyTorch (train), OpenAI Gym (env), NumPy, Matplotlib (plot). Efficient: performance is comparable with Ray RLlib. Stable: as...
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥 - GitHub - BarneyQiao/ElegantRL: Lightweight and scalable deep reinforcement learning using PyTorch. 🔥