Alternatives and similar repositories for Best-Papers

Users that are interested in Best-Papers are comparing it to the libraries listed below

• chainer / chainerrl-visualizer
  ☆54Updated 2 years ago
• DeepX-inc / machina
  Control section: Deep Reinforcement Learning framework
  ☆277Updated 5 years ago
• mcgillmrl / robot_learning
  ROS package for robot learning
  ☆17Updated 5 years ago
• masa-su / pixyzoo
  Implementation codes of deep generative models with Pixyz
  ☆105Updated 2 years ago
• TMats / rlarch-pixyz-tutorial
  Pixyz Tutorial in RL Architecture Study Group
  ☆11Updated 6 years ago
• david-abel / transfer_rl_icml_2018
  A codebase for experimenting with various approaches to action priors.
  ☆18Updated 7 years ago
• sony / nnabla-rl
  Deep reinforcement learning library built on top of Neural Network Libraries
  ☆124Updated 8 months ago
• pfnet-research / capg
  Implementation of clipped action policy gradient (CAPG) with PPO and TRPO
  ☆31Updated 7 years ago
• ymd-h / cpprb
  Fast Flexible Replay Buffer Library (Mirror repository of https://gitlab.com/ymd_h/cpprb)
  ☆72Updated 8 months ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• peisuke / vin
  ☆13Updated 8 years ago
• takuseno / minerva
  An out-of-the-box GUI tool for offline deep reinforcement learning
  ☆100Updated 4 years ago
• elix-tech / dqn
  DQN implementation in Keras + TensorFlow + OpenAI Gym
  ☆46Updated 7 years ago
• omron-sinicx / ShinRL
  ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)
  ☆48Updated 3 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• pfnet-research / picking-instruction
  PFN Picking Instructions for Commodities Dataset (PFN-PIC) including images, bounding boxes and text instructions.
  ☆31Updated 2 years ago
• YuriCat / AlphaZeroJupyterExample
  Example implementation of Alpha Zero' s algotirhm on Jupyter notebook
  ☆15Updated 5 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆165Updated 7 years ago
• vub-ai-lab / bdpi
  Sample-Efficient Reinforcement Learning with Bootstrapped Dual Policy Iteration
  ☆25Updated 5 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• keio-ytlab / study_group_of_model-based_rl
  Study Group of Model-based RL, 高橋研究室のモデルベース強化学習勉強会のスライドのまとめです
  ☆25Updated 6 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆150Updated 4 years ago
• ctallec / continuous-rl
  ☆20Updated 6 years ago
• belltailjp / chainer_computational_cost
  Estimate theoretical computational cost of a chainer-based neural network
  ☆50Updated 5 years ago
• pigooosuke / gym_reversi
  openAI gym env for reversi/othello game
  ☆20Updated last year
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆126Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago