pomdp-baselines VS machin

Compare pomdp-baselines vs machin and see what are their differences.

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pomdp-baselines machin
5 2
275 381
- -
4.3 1.8
7 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.

pomdp-baselines

Posts with mentions or reviews of pomdp-baselines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-31.

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 pomdp-baselines and machin you can also consider the following projects:

tianshou - An elegant PyTorch deep reinforcement learning library.

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

ElegantRL - Massively Parallel Deep Reinforcement Learning. πŸ”₯

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).

Apache Impala - Apache Impala

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

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

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT