RL-Adventure VS machin

Compare RL-Adventure vs machin and see what are their differences.

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL (by higgsfield)

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... (by iffiX)
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RL-Adventure machin
3 2
2,950 389
- -
0.0 1.8
over 2 years ago almost 3 years ago
Jupyter Notebook Python
- 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.

RL-Adventure

Posts with mentions or reviews of RL-Adventure. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-04.

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 RL-Adventure and machin you can also consider the following projects:

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

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

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

nle - The NetHack Learning Environment

Apache Impala - Apache Impala

RL-Adventure-2 - Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters [Moved to: https://github.com/higgsfield-ai/higgsfield]

tianshou - An elegant PyTorch deep reinforcement learning library.

flux-beamer - Flux is a modern style beamer presentation.

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

acme - A library of reinforcement learning components and agents

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