Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability

19 October 2020

Papers citing "Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability"

7 / 7 papers shown

Title
Learning to Represent Haptic Feedback for Partially-Observable Tasks Jaeyong Sung J. Kenneth Salisbury Ashutosh Saxena SSL 50 32 0 17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 93 2,416 0 15 May 2017
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 62 876 0 11 Nov 2016
DESPOT: Online POMDP Planning with Regularization N. Ye A. Somani David Hsu Wee Sun Lee 62 507 0 12 Sep 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 159 8,805 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 171 13,174 0 09 Sep 2015
Predictive State Representations: A New Theory for Modeling Dynamical Systems Satinder Singh Michael R. James Matthew R. Rudary AI4TS AI4CE 50 288 0 11 Jul 2012