chainerrl VS machin

Compare chainerrl vs machin and see what are their differences.

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer. (by chainer)

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... (by iffiX)
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chainerrl machin
3 2
1,141 381
1.1% -
0.0 1.8
over 2 years 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.

chainerrl

Posts with mentions or reviews of chainerrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

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 chainerrl and machin you can also consider the following projects:

stable-baselines3 - PyTorch version of Stable Baselines, reliable 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)

Apache Impala - Apache Impala

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

tianshou - An elegant PyTorch deep reinforcement learning library.

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

ElegantRL - Massively Parallel Deep Reinforcement Learning. πŸ”₯

dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.

DeepRL-TensorFlow2 - πŸ‹ Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Deep-Reinforcement-Learning-Algorithms-with-PyTorch - PyTorch implementations of deep reinforcement learning algorithms and environments

bagua - Bagua Speeds up PyTorch

maze - Maze Applied Reinforcement Learning Framework