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20112026
most citedDecision-Theoretic Planning with non-Markovian Rewards

70 citations · 80 across the 6 of their papers we have counts for

collaborators

7 papers

math.CV2026

A bootstrap proof of Bohr's theorem

Ole Fredrik Brevig

Let be an analytic function in the unit disc whose modulus is bounded by . We present a new proof of Bohr's theorem, which asserts that its majorant function is boun…

astro-ph.IM2025★ 1 cited

Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks

Jeffrey Smith, Taisei Fujii, Jesse Cranney +1

Atmospheric turbulence degrades the quality of astronomical observations in ground-based telescopes, leading to distorted and blurry images. Adaptive Optics (AO) systems are design…

cs.SD2019★ 1 cited

Computer Assisted Composition in Continuous Time

Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont +9

We address the problem of combining sequence models of symbolic music with user defined constraints. For typical models this is non-trivial as only the conditional distribution of…

cs.GT2014

A Study of Proxies for Shapley Allocations of Transport Costs

Haris Aziz, Casey Cahan, Charles Gretton +3

We propose and evaluate a number of solutions to the problem of calculating the cost to serve each location in a single-vehicle transport setting. Such cost to serve analysis has a…

cs.AI2012★ 8 cited

Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards

Charles Gretton, David Price, Sylvie Thiebaux

This paper examines a number of solution methods for decision processes with non-Markovian rewards (NMRDPs). They all exploit a temporal logic specification of the reward function…

cs.AI2012

Exploiting First-Order Regression in Inductive Policy Selection

Charles Gretton, Sylvie Thiebaux

We consider the problem of computing optimal generalised policies for relational Markov decision processes. We describe an approach combining some of the benefits of purely inducti…