Alternatives and similar repositories for Reinforcement-Learning-From-Scratch:

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

• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆134Updated 2 years ago
• TheMTank / GridUniverse
  Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem
  ☆22Updated 6 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• social-dilemma / multiagent
  Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas
  ☆49Updated 2 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆117Updated 2 years ago
• podondra / gym-gridworlds
  Gridworld environments for OpenAI gym.
  ☆80Updated last year
• phossen / gym-bubbleshooter
  This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter
  ☆17Updated 4 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆71Updated 3 years ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆201Updated last year
• philtabor / intrinsic-curiosity-paper-to-code
  PyTorch implementation of the intrinsic curiosity module (ICM) and A3C a;lgorithm
  ☆23Updated 3 years ago
• QasimWani / policy-value-methods
  Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
  ☆20Updated 4 years ago
• jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learning
  📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
  ☆49Updated 9 months ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆116Updated 3 months ago
• createamind / DRL
  ☆92Updated 4 years ago
• ChintanTrivedi / rl-bot-football
  An RL agent for the Google Football environment
  ☆95Updated 3 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,…
  ☆121Updated 4 years ago
• CVxTz / RL
  RL algorithm implementations from scratch.
  ☆18Updated 4 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• hzm2016 / sources-of-reinforcement-learning
  All the source codes and lectures of reinforcement learning.
  ☆30Updated 4 years ago
• kevin-hanselman / grid-world-rl
  Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
  ☆28Updated last year
• amiranas / minerl_imitation_learning
  ☆21Updated 4 years ago
• intel / cerl
  ☆73Updated 2 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 4 years ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆136Updated last year
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆86Updated 6 years ago
• ChuaCheowHuan / reinforcement_learning
  My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
  ☆37Updated last year
• bryonkucharski / Learning-to-Drive-with-Reinforcement-Learning-and-Variational-Autoencoders
  Project for my graduate neural networks course - combining RL with VAEs
  ☆23Updated 5 years ago
• facebookresearch / hanabi_SAD
  Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
  ☆99Updated 2 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 3 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago