Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning

15 May 2020

Papers citing "Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning"

8 / 8 papers shown

Title
Online Planning with Lookahead Policies Yonathan Efroni Mohammad Ghavamzadeh Shie Mannor 33 5 0 10 Sep 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 68 363 0 03 Jul 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 224 1,281 0 30 May 2018
Beyond the One Step Greedy Approach in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 83 50 0 10 Feb 2018
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 100 396 0 23 May 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
Learning to Search Better Than Your Teacher Kai-Wei Chang A. Krishnamurthy Alekh Agarwal Hal Daumé John Langford OffRL 52 231 0 08 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014