mbrl-lib
Library for Model Based RL (by facebookresearch)
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments (by p-christ)
| mbrl-lib | Deep-Reinforcement-Learning-Algorithms-with-PyTorch | |
|---|---|---|
| 1 | 2 | |
| 911 | 5,423 | |
| 1.9% | - | |
| 3.4 | 3.6 | |
| 9 months 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.
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.
mbrl-lib
Posts with mentions or reviews of mbrl-lib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-30.
-
Best PyTorch RL library for doing research
MBRL-Lib for model-based RL
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.
-
Frustrated beginner: How to approach/practice implementing papers into code?
This series is actually easier than the David Silver one. Also here is the github repository link - https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
- Best PyTorch RL library for doing research
What are some alternatives?
When comparing mbrl-lib and Deep-Reinforcement-Learning-Algorithms-with-PyTorch you can also consider the following projects:
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.
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
rlpyt - Reinforcement Learning in PyTorch
Deep-Q-Learning - Tensorflow implementation of Deepminds dqn with double dueling networks
mtrl - Multi Task RL Baselines
mbrl-lib vs cleanrl
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs stable-baselines3
mbrl-lib vs stable-baselines3
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs tianshou
mbrl-lib vs tianshou
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs cleanrl
mbrl-lib vs machin
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs machin
mbrl-lib vs rlpyt
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs Deep-Q-Learning
mbrl-lib vs mtrl
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs mtrl