Hidden Parameter Markov Decision Processes: A Semiparametric Regression
Approach for Discovering Latent Task Parametrizations

Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations

15 August 2013

Finale Doshi-Velez

George Konidaris

Papers citing "Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations"

11 / 11 papers shown

Title
Situationally-Aware Dynamics Learning Alejandro Murillo-Gonzalez Lantao Liu 67 0 0 26 May 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 134 1 0 03 Jan 2025
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 91 1 0 12 Sep 2023
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 49 62 0 16 Jun 2020
Bayesian Policy Reuse Benjamin Rosman Majd Hawasly S. Ramamoorthy OffRL 41 81 0 01 May 2015
Sample Complexity of Multi-task Reinforcement Learning Emma Brunskill Lihong Li 58 138 0 26 Sep 2013
Sequential Transfer in Multi-armed Bandit with Finite Set of Models M. G. Azar A. Lazaric Emma Brunskill OffRL 99 114 0 25 Jul 2013
Learning Parameterized Skills Bruno C. da Silva George Konidaris A. Barto 87 207 0 27 Jun 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search A. Guez David Silver Peter Dayan 61 172 0 14 May 2012
Gaussian Process Regression Networks A. Wilson David A. Knowles Zoubin Ghahramani GP BDL 116 192 0 19 Oct 2011
Variational Gaussian Process Dynamical Systems Andreas C. Damianou Michalis K. Titsias Neil D. Lawrence DRL 74 105 0 25 Jul 2011