Alternatives and similar repositories for crlmaze

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

• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 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".
  ☆61Updated last year
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆54Updated 5 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆16Updated 3 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆34Updated 2 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆86Updated 4 years ago
• YuejiangLIU / prioritized_option_critic
  Implementation of the Prioritized Option-Critic on the Four-Rooms Environment
  ☆16Updated 7 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 4 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆82Updated 3 years ago
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆21Updated 2 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• yusukeurakami / plan2explore-pytorch
  ☆43Updated 4 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 2 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• tianjunz / NovelD
  ☆40Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago