Alternatives and similar repositories for deep-rl-tutorial

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

• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 4 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆38Updated 4 years ago
• kzl / aop
  Official codebase for Adaptive Online Planning for Continual Lifelong Learning.
  ☆16Updated 5 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 10 months ago
• RobertTLange / minimal-meta-rl
  Minimal A2C/A3C example of an LSTM-based meta-learner.
  ☆13Updated 4 years ago
• RobertTLange / gym-hanoi
  A Towers of Hanoi environment in OpenAI Gym Style
  ☆13Updated 6 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 4 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆19Updated last year
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• gcucurull / maml_flax
  Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.
  ☆19Updated 4 years ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆25Updated 6 months ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• ZhengyaoJiang / GTG
  Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).
  ☆28Updated 3 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 2 years ago
• oxwhirl / opiq
  Code for Optimistic Exploration even with a Pessimistic Initialisation
  ☆14Updated 4 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆19Updated 5 years ago
• Farama-Foundation / CrowdPlay
  A web based platform for collecting human actions in reinforcement learning environments
  ☆30Updated last year
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• bmazoure / DRIML
  Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)
  ☆10Updated 4 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago