Alternatives and similar repositories for paper-notes

Users that are interested in paper-notes are comparing it to the libraries listed below

• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 6 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆29Updated 7 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 4 years ago
• hellochick / FICM
  [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
  ☆103Updated 2 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆26Updated 6 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 5 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• thanard / causal-infogan
  ☆86Updated 6 years ago
• sermanet / tcn
  ☆14Updated 5 years ago
• wassname / world-models-sonic-pytorch
  Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…
  ☆32Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• StanfordVL / ac-teach
  Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
  ☆24Updated 2 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• flowersteam / Curiosity_Driven_Goal_Exploration
  Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"
  ☆19Updated 6 years ago
• AIcrowd / real_robots
  Gym environments for Robots that learn to interact with the environment autonomously
  ☆34Updated 2 years ago
• nhynes / abc
  SeqGAN but with more bells and whistles
  ☆24Updated 7 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• seungjaeryanlee / osim-rl-helper
  Helper for NeurIPS 2018 Challenge: AI for Prosthetics
  ☆39Updated 7 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆36Updated 2 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 3 years ago
• idlrl / flare
  RL framework for embodied agents based on PyTorch
  ☆11Updated 6 years ago
• RL-Group / tutorials-and-papers
  Collection of tutorials, exercises and papers on RL
  ☆17Updated 8 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 7 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• tpbarron / pytorch-ppo
  Proximal Policy Optimization in PyTorch
  ☆39Updated 7 years ago
• devendrachaplot / DeepRL-Grounding
  Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
  ☆238Updated 7 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 8 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• lil-lab / chalet
  Cornell House Agent Learning Environment
  ☆47Updated 3 years ago