Alternatives and similar repositories for gym_ma_toy

Users that are interested in gym_ma_toy are comparing it to the libraries listed below

• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆173Updated 3 weeks ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated 2 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 5 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 4 years ago
• vwxyzjn / gym-microrts-paper
  The source code for the gym-microrts paper.
  ☆43Updated 3 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 4 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆56Updated 5 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 5 years ago
• intel / cerl
  ☆71Updated 2 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆27Updated 3 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 years ago
• instadeepai / gtc-course-2020
  Tutorial on Multi-Agent Reinforcement for Train Scheduling
  ☆11Updated 5 years ago
• vwxyzjn / a2c_is_a_special_case_of_ppo
  A2C is a special case of PPO!
  ☆22Updated 3 years ago
• linesd / tabular-methods
  Tabular methods for reinforcement learning
  ☆38Updated 5 years ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• chandar-lab / RLHive
  ☆101Updated last year
• ImparaAI / monte-carlo-tree-search
  Library for running a Monte Carlo tree search, either traditionally or with expert policies
  ☆126Updated last year
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆90Updated 6 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago
• facebookresearch / mtenv
  MultiTask Environments for Reinforcement Learning.
  ☆78Updated 3 years ago
• cswinter / DeepCodeCraft
  Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.
  ☆21Updated 2 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆152Updated 3 years ago
• enlite-ai / maze_smaac
  Semi-Markov Afterstate Actor-Critic (SMAAC) with Maze
  ☆11Updated 3 years ago
• archsyscall / DistRL-TensorFlow2
  🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
  ☆69Updated 4 years ago
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆163Updated 2 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆84Updated 4 years ago