Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning

17 October 2017

Papers citing "Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning"

6 / 6 papers shown

Title
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 171 2,948 0 20 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 57 305 0 08 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 136 1,517 0 25 Jan 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 174 5,056 0 05 Jun 2016
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 62 300 0 14 Dec 2015
Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation Guanjiao Ren Weihai Chen Sakyasingha Dasgupta Christoph Kolodziejski Florentin Wörgötter P. Manoonpong 36 56 0 11 Jul 2014