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 / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆80Updated 3 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated 2 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 6 years ago
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 5 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆11Updated 5 years ago
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆74Updated 2 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• RobertTLange / gym-hanoi
  A Towers of Hanoi environment in OpenAI Gym Style
  ☆14Updated 6 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆19Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• google-deepmind / labmaze
  A standalone release of DeepMind Lab's maze generator with Python bindings.
  ☆67Updated 2 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
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆91Updated 6 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated 2 years ago
• kenjyoung / mctx_learning_demo
  ☆53Updated 2 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆37Updated 5 years ago
• automl / mdp-playground
  A python package to design and debug RL agents.
  ☆33Updated 3 weeks ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆57Updated 3 years ago
• google-deepmind / neural_testbed
  ☆195Updated 3 weeks ago
• google-deepmind / tell_me_why_explanations_rl
  ☆37Updated 2 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 3 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆24Updated 3 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
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆124Updated 5 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆176Updated 2 weeks ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• google-research / deep_ope
  ☆89Updated last year
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆83Updated 3 years ago
• gcucurull / maml_flax
  Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.
  ☆21Updated 5 years ago