rlpyt VS gym

Compare rlpyt vs gym and see what are their differences.

rlpyt

Reinforcement Learning in PyTorch (by astooke)

gym

A toolkit for developing and comparing reinforcement learning algorithms. (by openai)
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rlpyt gym
4 96
2,197 33,905
- 0.4%
0.0 0.0
over 3 years ago 27 days ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

rlpyt

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

gym

Posts with mentions or reviews of gym. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

What are some alternatives?

When comparing rlpyt and gym you can also consider the following projects:

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

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

tianshou - An elegant PyTorch deep reinforcement learning library.

carla - Open-source simulator for autonomous driving research.

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

tensorflow - An Open Source Machine Learning Framework for Everyone

acme - A library of reinforcement learning components and agents

dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

sample-factory - High throughput synchronous and asynchronous reinforcement learning

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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

rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.