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
• mcgillmrl / robot_learning
  ROS package for robot learning
  ☆17Updated 5 years ago
• TMats / rlarch-pixyz-tutorial
  Pixyz Tutorial in RL Architecture Study Group
  ☆11Updated 6 years ago
• pfnet-research / capg
  Implementation of clipped action policy gradient (CAPG) with PPO and TRPO
  ☆31Updated 6 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• YuriCat / AlphaZeroJupyterExample
  Example implementation of Alpha Zero' s algotirhm on Jupyter notebook
  ☆15Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• masa-su / pixyzoo
  Implementation codes of deep generative models with Pixyz
  ☆105Updated 2 years ago
• david-abel / transfer_rl_icml_2018
  A codebase for experimenting with various approaches to action priors.
  ☆18Updated 6 years ago
• ymd-h / cpprb
  Fast Flexible Replay Buffer Library (Mirror repository of https://gitlab.com/ymd_h/cpprb)
  ☆72Updated 5 months ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆27Updated 6 years ago
• elix-tech / dqn
  DQN implementation in Keras + TensorFlow + OpenAI Gym
  ☆46Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• LiubovSobolevskaya / tf2-a2c-ppo
  mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.
  ☆9Updated 5 years ago
• peisuke / vin
  ☆13Updated 8 years ago
• musyoku / papers
  実装するリスト
  ☆10Updated 7 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆149Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 7 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆66Updated 5 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆25Updated 6 years ago
• kristychoi / pixel_exploration
  PyTorch implementation of Count-Based Exploration with Neural Density Models
  ☆10Updated 7 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 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
• itaicaspi / mgail
  Model-Based Generative Adversarial Imitation Learning
  ☆89Updated 4 years ago
• ctallec / continuous-rl
  ☆21Updated 6 years ago