Alternatives and similar repositories for meta-q-learning

Users that are interested in meta-q-learning are comparing it to the libraries listed below

• MadryLab / implementation-matters
  ☆131Updated last year
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆95Updated 4 months ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆62Updated 6 years ago
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆62Updated 2 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆83Updated 2 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆162Updated 5 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆197Updated 2 years ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆129Updated 4 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆188Updated 3 years ago
• facebookresearch / CollaQ
  A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"
  ☆130Updated 2 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆50Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆144Updated 2 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆146Updated 6 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆151Updated 4 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆56Updated 3 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• thanard / me-trpo
  ☆92Updated last year
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 8 months ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• j3soon / dfac
  [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
  ☆32Updated 2 years ago
• jerrodparker20 / adaptive-transformers-in-rl
  Adaptive Attention Span for Reinforcement Learning
  ☆135Updated 5 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆52Updated last year
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆74Updated 2 years ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆100Updated 6 years ago
• RchalYang / Soft-Module
  Code for "Multi-task Reinforcement Learning with Soft Modularization"
  ☆122Updated 4 years ago