Alternatives and similar repositories for Reinforcement-Learning

Users that are interested in Reinforcement-Learning are comparing it to the libraries listed below

• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆229Updated 5 months ago
• DLR-RM / rl-trained-agents
  A collection of pre-trained RL agents using Stable Baselines3
  ☆130Updated 8 months ago
• NickKaparinos / OpenAI-Gym-Projects
  OpenAI Gym environment solutions using Deep Reinforcement Learning.
  ☆75Updated 3 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆99Updated 2 years ago
• semitable / lb-foraging
  Level-based Foraging (LBF): A multi-agent environment for RL
  ☆183Updated 10 months ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• pythonlessons / Reinforcement_Learning
  Reinforcement learning tutorials
  ☆386Updated 2 years ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆123Updated 4 years ago
• alirezakazemipour / DDPG-HER
  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
  ☆100Updated 2 months ago
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆69Updated last month
• johnnycode8 / gym_solutions
  Collection of Python code that solves the Gymnasium Reinforcement Learning environments, along with YouTube tutorials.
  ☆189Updated 3 months ago
• jiseongHAN / Super-Mario-RL
  🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
  ☆128Updated last month
• Farama-Foundation / MO-Gymnasium
  Multi-objective Gymnasium environments for reinforcement learning
  ☆333Updated last week
• axelbr / racecar_gym
  A gym environment for a miniature racecar using the pybullet physics engine.
  ☆197Updated last year
• ksang / cs234-assignments
  Stanford CS234: Reinforcement Learning assignments and practices
  ☆55Updated 11 months ago
• semitable / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆379Updated 10 months ago
• PacktPublishing / Deep-Reinforcement-Learning-with-Python
  Deep Reinforcement Learning with Python, Second Edition, published by Packt
  ☆196Updated 2 years ago
• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆54Updated 2 years ago
• mharbuz / rlbook-exercises
  ☆100Updated 5 years ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆208Updated last year
• marl-book / codebase
  Official code repo for the MARL book (www.marl-book.com)
  ☆521Updated 3 months ago
• vojtamolda / reinforcement-learning-an-introduction
  Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
  ☆381Updated last year
• marl-book / slides
  Lecture slides for the MARL book (www.marl-book.com)
  ☆111Updated 2 months ago
• sudharsan13296 / Deep-Reinforcement-Learning-With-Python
  Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
  ☆426Updated 4 years ago
• berkeleydeeprlcourse / homework_fall2021
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
  ☆145Updated 3 years ago
• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆411Updated 2 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆77Updated 4 years ago
• Farama-Foundation / gym-examples
  Example code for the Gym documentation
  ☆72Updated 2 years ago
• Duane321 / reinforcement-learning-resources
  A curated list of awesome reinforcement courses, video lectures, books, library and many more.
  ☆45Updated 2 years ago
• proroklab / VectorizedMultiAgentSimulator
  VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …
  ☆445Updated last month