Alternatives and similar repositories for MDP_book

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

• proroklab / popgym
  Partially Observable Process Gym
  ☆211Updated 7 months ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆174Updated 2 months ago
• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆176Updated last month
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆50Updated last year
• bwfbowen / muax
  A project that provides help for using DeepMind's mctx on gym-style environments.
  ☆64Updated last year
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆80Updated last year
• kinalmehta / marl-jax
  JAX library for MARL research
  ☆87Updated 2 years ago
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆382Updated 2 months ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆198Updated 2 years ago
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆56Updated 3 years ago
• rlsummerschool / practical-sessions
  ☆22Updated 2 years ago
• montrealrobotics / DeepRLInTheWorld
  From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
  ☆279Updated last year
• facebookresearch / dcd
  Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
  ☆138Updated last year
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆45Updated 3 months 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
• berkeleydeeprlcourse / homework_fall2021
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
  ☆145Updated 3 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 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 …
  ☆164Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆38Updated 3 years ago
• kenjyoung / MinAtar
  ☆324Updated last year
• VinF / practical_sessions_RL
  ☆28Updated 3 weeks ago
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆255Updated 2 months ago
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆342Updated last year
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆232Updated last month
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆165Updated last month
• openrlbenchmark / openrlbenchmark
  ☆248Updated last year
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆181Updated 2 years ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆74Updated last year