Alternatives and similar repositories for expert

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

• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆38Updated 6 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
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 7 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 7 years ago
• flyyufelix / sonic_contest
  Source code for OpenAI Retro Contest for Sonic the Hedgehog
  ☆31Updated 6 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆19Updated 7 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 2 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 7 years ago
• grantsrb / PyTorch-A2C
  General implementation of Advantage Actor Critic using Pytorch
  ☆27Updated 3 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆50Updated 5 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 4 years ago
• sadeqa / Super-Mario-Bros-RL
  This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…
  ☆79Updated 6 years ago
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 7 years ago
• samlanka / DDPG-PyTorch
  Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite
  ☆25Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• valeoai / rainbow-iqn-apex
  Distributed Rainbow-IQN for Atari
  ☆77Updated 5 years ago
• jcoreyes / ex2
  Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
  ☆9Updated 7 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆95Updated 4 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago