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Learning Compact Models for Planning with Exogenous Processes

Learning Compact Models for Planning with Exogenous Processes

30 September 2019
Rohan Chitnis
Tomás Lozano-Pérez
ArXivPDFHTML

Papers citing "Learning Compact Models for Planning with Exogenous Processes"

6 / 6 papers shown
Title
Hindsight Learning for MDPs with Exogenous Inputs
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair
Felipe Vieira Frujeri
Ching-An Cheng
Luke Marshall
Hugo Barbalho
Jingling Li
Jennifer Neville
Ishai Menache
Adith Swaminathan
18
22
0
13 Jul 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep
  RL in Large Networked Systems
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau
Jinke He
M. Spaan
F. Oliehoek
20
4
0
03 Feb 2022
Online Planning in POMDPs with Self-Improving Simulators
Online Planning in POMDPs with Self-Improving Simulators
Jinke He
Miguel Suau
Hendrik Baier
Michael Kaisers
F. Oliehoek
11
1
0
27 Jan 2022
Exploiting Action Impact Regularity and Exogenous State Variables for
  Offline Reinforcement Learning
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning
Vincent Liu
James Wright
Martha White
OffRL
28
1
0
15 Nov 2021
Loss Bounds for Approximate Influence-Based Abstraction
Loss Bounds for Approximate Influence-Based Abstraction
E. Congeduti
A. Mey
F. Oliehoek
11
9
0
03 Nov 2020
A Sufficient Statistic for Influence in Structured Multiagent
  Environments
A Sufficient Statistic for Influence in Structured Multiagent Environments
F. Oliehoek
Stefan J. Witwicki
L. Kaelbling
12
23
0
22 Jul 2019
1