ElegantRL
machin
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ElegantRL | machin | |
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6 | 2 | |
3,376 | 381 | |
2.4% | - | |
7.4 | 1.8 | |
5 days ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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ElegantRL
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[R] ElegantRL: A Lightweight and Stable Deep Reinforcement Learning Library
The ElegantRL library is featured with “elegant” in the following aspects:
machin
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Best PyTorch RL library for doing research
Machin is really nice, it is very easy to use and to try different things, although it’s developed by one person and maybe not appropriately tested yet.
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Is there a consensus about RL frameworks?
I found this repo very helpful to get started: https://github.com/iffiX/machin
What are some alternatives?
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
tianshou - An elegant PyTorch deep reinforcement learning library.
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Deep-Reinforcement-Learning-Algorithms - 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
pytorch-ddpg - Deep deterministic policy gradient (DDPG) in PyTorch 🚀
Apache Impala - Apache Impala
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.