Deep-Reinforcement-Learning-Algorithms-with-PyTorch VS machin

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

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments (by p-christ)

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... (by iffiX)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Deep-Reinforcement-Learning-Algorithms-with-PyTorch machin
2 2
5,423 389
- -
3.6 1.8
9 months ago over 2 years 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.

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.

machin

Posts with mentions or reviews of machin. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-30.

What are some alternatives?

When comparing Deep-Reinforcement-Learning-Algorithms-with-PyTorch and machin 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)

Apache Impala - Apache Impala

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

RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

mtrl - Multi Task RL Baselines

mbrl-lib - Library for Model Based RL

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥