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Reinforcement Learning for POMDP: Partitioned Rollout and Policy
  Iteration with Application to Autonomous Sequential Repair Problems

Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems

11 February 2020
Sushmita Bhattacharya
Sahil Badyal
Thomas Wheeler
Stephanie Gil
Dimitri Bertsekas
ArXivPDFHTML

Papers citing "Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems"

7 / 7 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
86
270
0
09 Jan 2025
Shielding in Resource-Constrained Goal POMDPs
Shielding in Resource-Constrained Goal POMDPs
Michal Ajdarów
Simon Brlej
Petr Novotný
15
4
0
28 Nov 2022
Multiagent Reinforcement Learning for Autonomous Routing and Pickup
  Problem with Adaptation to Variable Demand
Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand
Daniel Garces
Sushmita Bhattacharya
Stephanie Gil
Dimitri Bertsekas
24
10
0
28 Nov 2022
Dynamic programming with incomplete information to overcome navigational
  uncertainty in a nautical environment
Dynamic programming with incomplete information to overcome navigational uncertainty in a nautical environment
Chris Beeler
Xinkai Li
C. Bellinger
Mark Crowley
M. Fraser
Isaac Tamblyn
32
1
0
29 Dec 2021
Multiagent Rollout and Policy Iteration for POMDP with Application to
  Multi-Robot Repair Problems
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Sushmita Bhattacharya
Siva Kailas
Sahil Badyal
Stephanie Gil
Dimitri Bertsekas
17
24
0
09 Nov 2020
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
Rollout Sampling Approximate Policy Iteration
Rollout Sampling Approximate Policy Iteration
Christos Dimitrakakis
M. Lagoudakis
OffRL
69
74
0
14 May 2008
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