mtrl
Multi Task RL Baselines (by facebookresearch)
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments (by p-christ)
mtrl | Deep-Reinforcement-Learning-Algorithms-with-PyTorch | |
---|---|---|
1 | 2 | |
211 | 5,416 | |
- | - | |
0.0 | 3.6 | |
over 2 years 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.
mtrl
Posts with mentions or reviews of mtrl.
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
MTRL for multi-task 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 mtrl and Deep-Reinforcement-Learning-Algorithms-with-PyTorch you can also consider the following projects:
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
tianshou - An elegant PyTorch deep reinforcement learning library.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
mbrl-lib - Library for Model Based RL
Deep-Q-Learning - Tensorflow implementation of Deepminds dqn with double dueling networks
rlpyt - Reinforcement Learning in PyTorch
mtrl vs stable-baselines3
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs stable-baselines3
mtrl vs tianshou
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs tianshou
mtrl vs cleanrl
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs cleanrl
mtrl vs machin
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs machin
mtrl vs mbrl-lib
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs Deep-Q-Learning
mtrl vs rlpyt
Deep-Reinforcement-Learning-Algorithms-with-PyTorch vs mbrl-lib