Alternatives and similar repositories for meta_rl

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

• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆126Updated 6 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• araffin / srl-zoo
  State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
  ☆163Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 7 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
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆53Updated 7 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 5 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆210Updated 6 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 5 years ago
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆205Updated 4 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 7 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆207Updated 4 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• flowersteam / teachDeepRL
  ☆88Updated 4 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆36Updated 2 years ago
• attentionagent / attentionagent.github.io
  Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)
  ☆22Updated 3 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆44Updated 4 years ago