Alternatives and similar repositories for rl-iter

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

• yusukeurakami / plan2explore-pytorch
  ☆43Updated 4 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆162Updated 3 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆36Updated 5 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆150Updated 4 years ago
• aravindsrinivas / curl_rainbow
  ☆53Updated 5 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• rraileanu / idaac
  ☆54Updated last year
• illidanlab / opolo-code
  ☆32Updated 4 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• young-geng / SimpleSAC
  A simple and easy to use implementation of the soft actor-critic algorithm.
  ☆15Updated 3 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• nicklashansen / policy-adaptation-during-deployment
  Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
  ☆113Updated 4 years ago
• spitis / mrl
  ☆114Updated 2 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆153Updated 7 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆152Updated 4 years ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆166Updated 7 months ago
• tianjunz / NovelD
  ☆40Updated 3 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 6 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• nicklashansen / dmcontrol-generalization-benchmark
  DMControl Generalization Benchmark
  ☆175Updated last year
• microsoft / IBAC-SNI
  Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottlen…
  ☆50Updated 5 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated 2 years ago
• xuanlinli17 / iclr2021_rlreg
  Regularization Matters in Policy Optimization
  ☆21Updated 3 years ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆128Updated 4 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago