deep_control
Deep Reinforcement Learning for Continuous Control in PyTorch (by jakegrigsby)
deep_rl_zoo
A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar. (by michaelnny)
| deep_control | deep_rl_zoo | |
|---|---|---|
| 1 | 1 | |
| 87 | 90 | |
| - | - | |
| 1.8 | 3.6 | |
| over 2 years ago | 2 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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.
deep_control
Posts with mentions or reviews of deep_control.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Help on what could be wrong on my TD3?
So I am training with my own simulator from Unity connected to Open AI gym using TD3 adopted from this https://github.com/jakegrigsby/deep_control/blob/master/deep_control/td3.py
deep_rl_zoo
Posts with mentions or reviews of deep_rl_zoo.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing deep_control and deep_rl_zoo you can also consider the following projects:
autonomous-learning-library - A PyTorch library for building deep reinforcement learning agents.
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)
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
episodic-transformer-memory-ppo - Clean baseline implementation of PPO using an episodic TransformerXL memory