Alternatives and similar repositories for deep-rl-tutorial

Users that are interested in deep-rl-tutorial are comparing it to the libraries listed below

• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 5 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆74Updated 2 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆80Updated 3 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated 2 years ago
• RobertTLange / gym-hanoi
  A Towers of Hanoi environment in OpenAI Gym Style
  ☆14Updated 6 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆176Updated last month
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆37Updated 5 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• kenjyoung / mctx_learning_demo
  ☆53Updated 2 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• google-research / deep_ope
  ☆89Updated last year
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆91Updated 6 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆66Updated 2 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆85Updated 2 years ago
• AmiiThinks / AlphaEx
  A Python Toolkit for Managing a Large Number of Experiments
  ☆31Updated last year
• google-deepmind / tell_me_why_explanations_rl
  ☆37Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆57Updated 3 years ago
• RobertTLange / minimal-meta-rl
  Minimal A2C/A3C example of an LSTM-based meta-learner.
  ☆13Updated 4 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆11Updated 5 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago
• schmidtdominik / Rainbow
  Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …
  ☆44Updated 4 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
• coax-dev / coax
  Modular framework for Reinforcement Learning in python
  ☆181Updated 2 years ago
• google-research / dice_rl
  ☆112Updated last year
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆32Updated 3 years ago