What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience

13 June 2022

Papers citing "What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience"

7 / 7 papers shown

Title
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making Andrew Butcher Michael Bradley Johanson Elnaz Davoodi Dylan J. A. Brenneis Leslie Acker Adam S. R. Parker Adam White Joseph Modayil P. Pilarski AI4CE 38 3 0 11 Jan 2022
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study Dylan J. A. Brenneis Adam S. R. Parker Michael Bradley Johanson Andrew Butcher Elnaz Davoodi Leslie Acker M. Botvinick Joseph Modayil Adam White P. Pilarski 40 5 0 14 Dec 2021
Gamma-Nets: Generalizing Value Estimation over Timescale Craig Sherstan Shibhansh Dohare J. MacGlashan J. Günther P. Pilarski 37 12 0 18 Nov 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 53 85 0 10 Sep 2019
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 47 277 0 14 Dec 2018
General Value Function Networks M. Schlegel Andrew Jacobsen Zaheer Abbas Andrew Patterson Adam White Martha White 61 30 0 18 Jul 2018
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 43 1,225 0 16 Nov 2016