91 citations · 92 across the 8 of their papers we have counts for
4 papers · 1 filter
Task Phasing: Automated Curriculum Learning from Demonstrations
Vaibhav Bajaj, Guni Sharon, Peter Stone
Applying reinforcement learning (RL) to sparse reward domains is notoriously challenging due to insufficient guiding signals. Common RL techniques for addressing such domains inclu…
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret
Sheelabhadra Dey, Sumedh Pendurkar, Guni Sharon +1
In various control task domains, existing controllers provide a baseline level of performance that -- though possibly suboptimal -- should be maintained. Reinforcement learning (RL…
The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems
Sumedh Pendurkar, Taoan Huang, Sven Koenig +1
The A* algorithm is commonly used to solve NP-hard combinatorial optimization problems. When provided with a completely informed heuristic function, A* solves many NP-hard minimum-…
Technical Report: Hybrid Autonomous Intersection Management
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).