OpenAI Gym
2016-06-05Code Available1· sign in to hype
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/polixir/neorl2pytorch★ 19
- github.com/vvanirudh/imitation-learning-gymtf★ 9
- github.com/1nf0rmagician/gym-bimanualPickAndPlacetf★ 2
- github.com/developer-smartwebzone/-reinforcement-learning-algorithms.tf★ 0
- github.com/ozcell/gym_wmgds_matf★ 0
- github.com/varuncs2011/rltf★ 0
- github.com/Rowing0914/gym_modifiedtf★ 0
- github.com/Christopheraburns/openai-gymtf★ 0
- github.com/felipeescallon/openai-gymtf★ 0
- github.com/gtrll/dartenvtf★ 0
Abstract
OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.