Alternatives and similar repositories for Building-a-Complete-RL-System_Demonstration

Users that are interested in Building-a-Complete-RL-System_Demonstration are comparing it to the libraries listed below

• martyput / MDP_book
  ☆203Updated 2 months ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆58Updated last week
• heidekrueger / bnelearn
  A Framework for Equilibrium Learning in Sealed-Bid Auctions
  ☆24Updated 2 years ago
• ssokota / mmd
  Code for magnetic mirror descent.
  ☆16Updated 2 years ago
• uoe-agents / GPL
  Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…
  ☆35Updated 4 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆50Updated 2 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆174Updated 2 weeks ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆144Updated 4 years ago
• kinalmehta / marl-jax
  JAX library for MARL research
  ☆88Updated 2 years ago
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆46Updated 5 years ago
• hermesdt / reinforcement-learning
  ☆39Updated 4 months ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆45Updated 2 months ago
• brynhayder / reinforcement_learning_an_introduction
  Notes and exercise solutions for second edition of Sutton & Barto's book
  ☆400Updated 3 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆38Updated 2 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆140Updated 3 years ago
• BorealisAI / mtmfrl
  Multi Type Mean Field Reinforcement Learning
  ☆31Updated 3 years ago
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆56Updated 2 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆91Updated 6 years ago
• MishaLaskin / torchingup
  TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…
  ☆54Updated 3 years ago
• JBLanier / stratego_env
  Multi-Agent RL Environment for the Stratego Board Game (and variants)
  ☆34Updated 2 months ago
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆86Updated last year
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆61Updated 3 months ago
• berkeleydeeprlcourse / homework_fall2021
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
  ☆145Updated 3 years ago
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• indylab / nxdo
  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games
  ☆40Updated 4 years ago
• DarylRodrigo / rl_lib
  Series of deep reinforcement learning algorithms 🤖
  ☆29Updated 4 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆205Updated 3 years ago
• cyrusneary / rm-cooperative-marl
  Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.
  ☆14Updated 2 years ago
• philipjball / TD3_PyTorch
  ♊ Minimal PyTorch Twin Delayed DDPG (TD3) implementation
  ☆10Updated 4 years ago