minimalRL VS rlpyt

Compare minimalRL vs rlpyt and see what are their differences.

rlpyt

Reinforcement Learning in PyTorch (by astooke)
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minimalRL rlpyt
5 4
2,725 2,197
- -
1.6 0.0
about 1 year ago over 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

minimalRL

Posts with mentions or reviews of minimalRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-18.

rlpyt

Posts with mentions or reviews of rlpyt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-30.

What are some alternatives?

When comparing minimalRL and rlpyt you can also consider the following projects:

ElegantRL - Massively Parallel Deep Reinforcement Learning. ๐Ÿ”ฅ

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

gym - A toolkit for developing and comparing reinforcement learning algorithms.

DeepRL-TensorFlow2 - ๐Ÿ‹ Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

tianshou - An elegant PyTorch deep reinforcement learning library.

pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

acme - A library of reinforcement learning components and agents

deep-RL-trading - playing idealized trading games with deep reinforcement learning

sample-factory - High throughput synchronous and asynchronous reinforcement learning

ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)