91 citations · 92 across the 8 of their papers we have counts for
5 papers · 1 filter
Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths
Guni Sharon, Wei Zhang
We introduce Stochastic Reset Pathfinding (SRP), an episodic learning problem on a known directed graph with unknown stationary edge success probabilities. In each episode, the age…
Policy-Guided Search on Tree-of-Thoughts for Efficient Problem Solving with Bounded Language Model Queries
Sumedh Pendurkar, Guni Sharon
Recent studies explored integrating state-space search algorithms with Language Models (LM) to perform look-ahead on the token generation process, the ''Tree-of-Thoughts'' (ToT), g…
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…
Learning an Interpretable Traffic Signal Control Policy
James Ault, Josiah P. Hanna, Guni Sharon
Signalized intersections are managed by controllers that assign right of way (green, yellow, and red lights) to non-conflicting directions. Optimizing the actuation policy of such…