Alternatives and similar repositories for run-skeleton-run-in-3d

Users that are interested in run-skeleton-run-in-3d are comparing it to the libraries listed below

• Scitator / catalyst-rl-framework
  Catalyst.RL: A Distributed Framework for Reproducible RL Research
  ☆39Updated 6 years ago
• catalyst-team / catalyst-rl
  ☆48Updated 4 years ago
• Scitator / neurips-18-prosthetics-challenge
  NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution
  ☆32Updated 6 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 5 years ago
• FortsAndMills / Learning-Reinforcement-Learning
  ☆30Updated 5 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• Scitator / Run-Skeleton-Run
  Reason8.ai PyTorch solution for NIPS RL 2017 challenge
  ☆84Updated 6 years ago
• wassname / world-models-sonic-pytorch
  Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…
  ☆32Updated 7 years ago
• Scitator / papers
  ☆50Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• flowersteam / teachDeepRL
  ☆89Updated 4 years ago
• AIcrowd / real_robots
  Gym environments for Robots that learn to interact with the environment autonomously
  ☆34Updated 2 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• araffin / srl-zoo
  State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
  ☆163Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• yuqingd / sim2real2sim_rad
  ☆57Updated 3 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• nnaisense / 2017-learning-to-run
  The Winning Solution for the Learning To Run Challenge 2017
  ☆60Updated 7 years ago
• fgvbrt / retro_contest
  ☆15Updated 2 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆44Updated 4 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• Bam4d / Neural-Game-Engine
  Code to reproduce Neural Game Engine experiments and pre-trained models
  ☆41Updated 3 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆152Updated 3 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆36Updated 2 years ago
• facebookresearch / mtenv
  MultiTask Environments for Reinforcement Learning.
  ☆77Updated 3 years ago
• Scitator / RL-intro
  ☆23Updated 5 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago