mbrl-lib
machin
mbrl-lib | machin | |
---|---|---|
1 | 2 | |
911 | 381 | |
1.9% | - | |
3.4 | 1.8 | |
9 months ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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mbrl-lib
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Best PyTorch RL library for doing research
MBRL-Lib for model-based RL
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?
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
tianshou - An elegant PyTorch deep reinforcement learning library.
Apache Impala - Apache Impala
Deep-Reinforcement-Learning-Algorithms-with-PyTorch - PyTorch implementations of deep reinforcement learning algorithms and environments
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
rlpyt - Reinforcement Learning in PyTorch
mtrl - Multi Task RL Baselines
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥