1k citations · 3.7k across the 13 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.RO2016★ 161 cited
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Paul Christiano, Zain Shah, Igor Mordatch +5
Developing control policies in simulation is often more practical and safer than directly running experiments in the real world. This applies to policies obtained from planning and…
cs.DB2016★ 2 cited
Analytic Performance Model of a Main-Memory Index Structure
Jonas Schneider
Efficient evaluation of multi-dimensional range queries in a main-memory database is an important, but difficult task. State-of-the-art techniques rely on optimised sequential scan…
cs.LG2016★ 620 cited
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
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 s…