Search Results for author: Miquel Ramirez

Found 7 papers, 0 papers with code

Lifted Sequential Planning with Lazy Constraint Generation Solvers

no code implementations17 Jul 2023 Anubhav Singh, Miquel Ramirez, Nir Lipovetzky, Peter J. Stuckey

This paper studies the possibilities made open by the use of Lazy Clause Generation (LCG) based approaches to Constraint Programming (CP) for tackling sequential classical planning.

valid

Lazy Probabilistic Roadmaps Revisited

no code implementations28 Sep 2022 Miquel Ramirez, Daniel Selvaratnam, Chris Manzie

This paper describes a revision of the classic Lazy Probabilistic Roadmaps algorithm (Lazy PRM), that results from pairing PRM and a novel Branch-and-Cut (BC) algorithm.

Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning

no code implementations7 Jul 2022 Stefan O'Toole, Miquel Ramirez, Nir Lipovetzky, Adrian R. Pearce

We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined heuristic functions for classical planning problems.

regression

Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark

no code implementations NeurIPS 2021 Stefan O'Toole, Nir Lipovetzky, Miquel Ramirez, Adrian Pearce

We propose new width-based planning and learning algorithms inspired from a careful analysis of the design decisions made by previous width-based planners.

Atari Games

Approximate Novelty Search

no code implementations17 May 2021 Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas

Width-based search algorithms seek plans by prioritizing states according to a suitably defined measure of novelty, that maps states into a set of novelty categories.

Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains

no code implementations13 Mar 2017 Miquel Ramirez, Enrico Scala, Patrik Haslum, Sylvie Thiebaux

FS+ is shown to be a robust planner over a diverse set of hybrid domains, taken from the existing literature on hybrid planning and systems.

Numerical Integration

Heuristics for Planning, Plan Recognition and Parsing

no code implementations19 May 2016 Miquel Ramirez, Hector Geffner

In a recent paper, we have shown that Plan Recognition over STRIPS can be formulated and solved using Classical Planning heuristics and algorithms.

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