tianshou VS cleanrl

Compare tianshou vs cleanrl and see what are their differences.

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tianshou cleanrl
8 41
7,406 4,459
3.2% -
9.5 6.3
3 days ago 4 days ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

tianshou

Posts with mentions or reviews of tianshou. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-02.

cleanrl

Posts with mentions or reviews of cleanrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-24.

What are some alternatives?

When comparing tianshou and cleanrl you can also consider the following projects:

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

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

d3rlpy - An offline deep reinforcement learning library

pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

reinforcement-learning-discord-wiki - The RL discord wiki

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

mbrl-lib - Library for Model Based RL

pytorch-a3c - PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Deep-Reinforcement-Learning-Algorithms-with-PyTorch - PyTorch implementations of deep reinforcement learning algorithms and environments

sample-factory - High throughput synchronous and asynchronous reinforcement learning