Search Results for author: Guni Sharon

Found 8 papers, 5 papers with code

Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games

1 code implementation Autonomous Agents and Multi Agent Systems (AAMAS) 2023 Sumedh Pendurkar, Chris Chow, Luo Jie, Guni Sharon

We address a mechanism design problem where the goal of the designer is to maximize the entropy of a player’s mixed strategy at a Nash equilibrium.

Task Phasing: Automated Curriculum Learning from Demonstrations

1 code implementation20 Oct 2022 Vaibhav Bajaj, Guni Sharon, Peter Stone

Applying reinforcement learning (RL) to sparse reward domains is notoriously challenging due to insufficient guiding signals.

Reinforcement Learning (RL)

A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret

1 code implementation20 Sep 2022 Sheelabhadra Dey, Sumedh Pendurkar, Guni Sharon, Josiah P. Hanna

The learning process in JIRL assumes the availability of a baseline policy and is designed with two objectives in mind \textbf{(a)} leveraging the baseline's online demonstrations to minimize the regret w. r. t the baseline policy during training, and \textbf{(b)} eventually surpassing the baseline performance.

reinforcement-learning Reinforcement Learning (RL)

The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems

1 code implementation7 Sep 2022 Sumedh Pendurkar, Taoan Huang, Sven Koenig, Guni Sharon

Our first experimental results for three representative NP-hard minimum-cost path problems suggest that using neural networks to approximate completely informed heuristic functions with high precision might result in network sizes that scale exponentially in the instance sizes.

Combinatorial Optimization

Technical Report: Hybrid Autonomous Intersection Management

no code implementations16 Apr 2022 Aaron Parks-Young, Guni Sharon

This document provides technical details regarding the Hybrid-AIM simulator that was used in Sharon and Stone (2017) and Parks-Young and Sharon (2022).


Learning an Interpretable Traffic Signal Control Policy

1 code implementation23 Dec 2019 James Ault, Josiah P. Hanna, Guni Sharon

Given such a safety-critical domain, the affiliated actuation policy is required to be interpretable in a way that can be understood and regulated by a human.


Traffic Optimization For a Mixture of Self-interested and Compliant Agents

no code implementations27 Sep 2017 Guni Sharon, Michael Albert, Tarun Rambha, Stephen Boyles, Peter Stone

This paper focuses on two commonly used path assignment policies for agents traversing a congested network: self-interested routing, and system-optimum routing.

Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios

no code implementations17 Feb 2017 Hang Ma, Sven Koenig, Nora Ayanian, Liron Cohen, Wolfgang Hoenig, T. K. Satish Kumar, Tansel Uras, Hong Xu, Craig Tovey, Guni Sharon

Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research.

Multi-Agent Path Finding

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