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…