activity
20142026
most citedGeneralized Planning With Deep Reinforcement Learning

24 citations · 39 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Optimal Planning in a Dynamic World

Devin Wild Thomas, Solomon Eyal Shimony, Wheeler Ruml +3

Background: We address the problem of planning when the set of feasible states or actions changes over time. For example, in the problem of path planning among moving obstacles (so…

cs.RO2026

TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations

Guy Freund, Tom Jurgenson, Matan Sudry +1

Robotic knot-tying represents a fundamental challenge in robotics due to the complex interactions between deformable objects and strict topological constraints. We present TWISTED-…

cs.GT2025

When Competition Helps: Achieving Optimal Traffic Flow with Multiple Autonomous Planners

Ivan Geffner, Erez Karpas, Moshe Tennenholtz

The inefficiency of selfish routing in congested networks is a classical problem in algorithmic game theory, often captured by the Price of Anarchy (i.e., the ratio between the soc…

cs.AI2024

Planning and Acting While the Clock Ticks

Andrew Coles, Erez Karpas, Andrey Lavrinenko +3

Standard temporal planning assumes that planning takes place offline and then execution starts at time 0. Recently, situated temporal planning was introduced, where planning starts…

cs.AI2023★ 3 cited

A Formal Metareasoning Model of Concurrent Planning and Execution

Amihay Elboher, Ava Bensoussan, Erez Karpas +3

Agents that plan and act in the real world must deal with the fact that time passes as they are planning. When timing is tight, there may be insufficient time to complete the searc…

cs.RO2023★ 2 cited

Robofriend: An Adpative Storytelling Robotic Teddy Bear -- Technical Report

Ido Glanz, Matan Weksler, Erez Karpas +1

In this paper we describe Robofriend, a robotic teddy bear for telling stories to young children. Robofriend adapts its behavior to keep the childrens' attention using reinforcemen…

cs.RO2022★ 5 cited

A Conflict-driven Interface between Symbolic Planning and Nonlinear Constraint Solving

Joaquim Ortiz-Haro, Erez Karpas, Michael Katz +1

Robotic planning in real-world scenarios typically requires joint optimization of logic and continuous variables. A core challenge to combine the strengths of logic planners and co…

cs.RO2022

Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning

Joaquim Ortiz-Haro, Jung-Su Ha, Danny Driess +2

A factored Nonlinear Program (Factored-NLP) explicitly models the dependencies between a set of continuous variables and nonlinear constraints, providing an expressive formulation…

cs.CL2022

Understanding Natural Language in Context

Avichai Levy, Erez Karpas

Recent years have seen an increasing number of applications that have a natural language interface, either in the form of chatbots or via personal assistants such as Alexa (Amazon)…

cs.AI2020★ 24 cited

Generalized Planning With Deep Reinforcement Learning

Or Rivlin, Tamir Hazan, Erez Karpas

A hallmark of intelligence is the ability to deduce general principles from examples, which are correct beyond the range of those observed. Generalized Planning deals with finding…

cs.AI2018

Automated Tactical Decision Planning Model with Strategic Values Guidance for Local Action-Value-Ambiguity

Daniel Muller, Erez Karpas

In many real-world planning problems, action's impact differs with a place, time and the context in which the action is applied. The same action with the same effects in a differen…

cs.AI2014★ 5 cited

Online Speedup Learning for Optimal Planning

Carmel Domshlak, Erez Karpas, Shaul Markovitch

Domain-independent planning is one of the foundational areas in the field of Artificial Intelligence. A description of a planning task consists of an initial world state, a goal, a…