cleanrl VS tianshou

Compare cleanrl vs tianshou and see what are their differences.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) (by vwxyzjn)
Wandb reinforcement-learning Pytorch Python Gym Machine Learning deep-reinforcement-learning Deep Learning atari ale A2c proximal-policy-optimization Ppo advantage-actor-critic actor-critic phasic-policy-gradient
Source Code
docs.cleanrl.dev
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tianshou

An elegant PyTorch deep reinforcement learning library. (by thu-ml)
Pytorch policy-gradient Dqn double-dqn A2c Ddpg Ppo td3 sac imitation-learning mujoco atari bcq Library rl drl Benchmark trpo npg Cql
Source Code
tianshou.org
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cleanrl tianshou
41 8
4,459 7,406
- 3.2%
6.3 9.5
4 days ago 2 days ago
Python Python
GNU General Public License v3.0 or later 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.

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.

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.

What are some alternatives?

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

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

d3rlpy - An offline deep reinforcement learning library

ElegantRL - Massively Parallel Deep Reinforcement Learning. πŸ”₯

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

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.

mbrl-lib - Library for Model Based RL

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

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

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

sample-factory - High throughput synchronous and asynchronous reinforcement learning

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

cleanrl vs stable-baselines3 tianshou vs stable-baselines3 cleanrl vs d3rlpy tianshou vs ElegantRL cleanrl vs reinforcement-learning-discord-wiki tianshou vs pytorch-learn-reinforcement-learning cleanrl vs mbrl-lib tianshou vs seed_rl cleanrl vs machin tianshou vs pytorch-a3c cleanrl vs sample-factory tianshou vs Deep-Reinforcement-Learning-Algorithms-with-PyTorch