Alternatives and similar repositories for Paper_Notes

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

• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,109Updated 7 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆445Updated 5 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,597Updated 2 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆797Updated 4 years ago
• berkeleydeeprlcourse / homework_fall2019
  ☆186Updated 3 years ago
• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,073Updated 4 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆631Updated 7 years ago
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,217Updated 4 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆425Updated last year
• dalmia / David-Silver-Reinforcement-learning
  Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
  ☆815Updated 3 years ago
• kengz / SLM-Lab
  Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
  ☆1,282Updated 3 months ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆712Updated 6 years ago
• ikostrikov / pytorch-trpo
  PyTorch implementation of Trust Region Policy Optimization
  ☆442Updated 6 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆375Updated 2 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆565Updated 2 years ago
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,464Updated last year
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,968Updated last year
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 5 years ago
• WilsonWangTHU / mbbl
  ☆391Updated 5 years ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,255Updated 4 years ago
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,106Updated 3 years ago
• TianhongDai / reinforcement-learning-algorithms
  This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…
  ☆680Updated 4 years ago
• medipixel / rl_algorithms
  Structural implementation of RL key algorithms
  ☆513Updated 2 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,003Updated 6 years ago
• seungjaeryanlee / awesome-rl-competitions
  List of competitions related to Reinforcement Learning
  ☆351Updated last year
• SurrealAI / surreal
  Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
  ☆488Updated 5 years ago
• vmayoral / basic_reinforcement_learning
  An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
  ☆1,156Updated last year
• MatthewJA / Inverse-Reinforcement-Learning
  Implementations of selected inverse reinforcement learning algorithms.
  ☆1,023Updated 2 years ago
• rlworkgroup / garage
  A toolkit for reproducible reinforcement learning research.
  ☆1,980Updated 2 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,691Updated 11 months ago