Alternatives and similar repositories for Small-World-RL

Users that are interested in Small-World-RL are comparing it to the libraries listed below

• flowersteam / geppg
  ☆35Updated 7 years ago
• nanxintin / deep-reinforcement-learning
  Reinforcement Learning and Deep Learning Resources
  ☆16Updated 7 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 8 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆35Updated 8 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 5 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 5 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 7 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 7 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆29Updated 6 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆42Updated 8 years ago
• zackchase / intrinsic-fear-dqn
  Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.
  ☆10Updated 8 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆35Updated 8 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆68Updated 7 years ago
• btaba / yarlp
  yet another reinforcement learning package
  ☆12Updated 3 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆53Updated 8 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 6 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…
  ☆80Updated 6 years ago
• Feryal / craft-env
  ☆44Updated 7 years ago
• flowersteam / Curiosity_Driven_Goal_Exploration
  Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"
  ☆19Updated 7 years ago
• mtrazzi / meta_rl
  The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
  ☆37Updated 6 years ago
• jachiam / surprise
  Surprise-based intrinsic motivation for deep reinforcement learning
  ☆21Updated 8 years ago
• mansimov / acktr
  ☆17Updated 8 years ago
• camigord / DRL_papernotes
  Notes and comments about Deep Reinforcement Learning papers
  ☆77Updated 8 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• AutumnWu / Streamlined-Off-Policy-Learning
  ICRL 2020
  ☆20Updated 5 years ago