Search Results for author: Jendrik Seipp

Found 5 papers, 0 papers with code

NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions

no code implementations7 May 2024 Elliot Gestrin, Marco Kuhlmann, Jendrik Seipp

Today's classical planners are powerful, but modeling input tasks in formats such as PDDL is tedious and error-prone.

Numeric Reward Machines

no code implementations30 Apr 2024 Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis, Aneta Vulgarakis Feljan, Jendrik Seipp

We compare our new approaches to a baseline reward machine in the Craft domain, where the numeric feature is the agent-to-target distance.

Q-Learning

Consolidating LAMA with Best-First Width Search

no code implementations26 Apr 2024 Augusto B. Corrêa, Jendrik Seipp

This is the approach used by LAMA, a classical planner that, a decade after its release, is still considered state-of-the-art in agile planning.

Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width: Extended Version

no code implementations28 Mar 2022 Dominik Drexler, Jendrik Seipp, Hector Geffner

Recently, sketches have been introduced as a general language for representing the subgoal structure of instances drawn from the same domain.

Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version

no code implementations10 May 2021 Dominik Drexler, Jendrik Seipp, Hector Geffner

Width-based planning methods deal with conjunctive goals by decomposing problems into subproblems of low width.

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