stable-baselines3 VS Deep-Reinforcement-Learning-Algorithms-with-PyTorch

Compare stable-baselines3 vs Deep-Reinforcement-Learning-Algorithms-with-PyTorch and see what are their differences.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. (by DLR-RM)
reinforcement-learning reinforcement-learning-algorithms Machine Learning Gym openai baselines Toolbox stable-baselines Python Pytorch Robotics Sde gsde sb3
Source Code
stable-baselines3.readthedocs.io
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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments (by p-christ)
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stable-baselines3 Deep-Reinforcement-Learning-Algorithms-with-PyTorch
46 2
7,894 5,404
5.2% -
8.2 3.6
4 days ago 8 months 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.

stable-baselines3

Posts with mentions or reviews of stable-baselines3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

Posts with mentions or reviews of Deep-Reinforcement-Learning-Algorithms-with-PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-07.

What are some alternatives?

When comparing stable-baselines3 and Deep-Reinforcement-Learning-Algorithms-with-PyTorch you can also consider the following projects:

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.

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Deep-Q-Learning - Tensorflow implementation of Deepminds dqn with double dueling networks

mtrl - Multi Task RL Baselines

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

mbrl-lib - Library for Model Based RL

stable-baselines3 vs Ray Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs tianshou stable-baselines3 vs stable-baselines Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs cleanrl stable-baselines3 vs Pytorch Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs machin stable-baselines3 vs cleanrl Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs Deep-Q-Learning stable-baselines3 vs tianshou Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs mtrl stable-baselines3 vs Super-mario-bros-PPO-pytorch Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs mbrl-lib