6 papers
Modular Reinforcement Learning For Cooperative Swarms
Erel Shtossel, Gal A. Kaminka
A cooperative robot swarm is a collective of computationally-limited robots that share a common goal. Each robot can only interact with a small subset of its peers, without knowing…
A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs
Erel Shtossel, Alicia Vidler, Uri Shaham +1
Recent research has revived and amplified interest in algorithms for undiscounted average reward reinforcement learning in infinite-horizon, non-episodic (continuing) tasks. Semi-M…
A Language for Describing Agentic LLM Contexts
Noga Peleg Pelc, Gal A. Kaminka, Yoav Goldberg
Large language models are increasingly used within larger systems ("LLM agents"). These make a sequence of LLM calls, each call providing the LLM with a combination of instructions…
Personalized Medication Planning via Direct Domain Modeling and LLM-Generated Heuristics
Yonatan Vernik, Alexander Tuisov, David Izhaki +3
Personalized medication planning involves selecting medications and determining a dosing schedule to achieve medical goals specific to each individual patient. Previous work succes…
Multiagent Reinforcement Learning for Liquidity Games
Alicia Vidler, Gal A. Kaminka
Making use of swarm methods in financial market modeling of liquidity, and techniques from financial analysis in swarm analysis, holds the potential to advance both research areas.…
Bugs with Features: Vision-Based Fault-Tolerant Collective Motion Inspired by Nature
Peleg Shefi, Amir Ayali, Gal A. Kaminka
In collective motion, perceptually-limited individuals move in an ordered manner, without centralized control. The perception of each individual is highly localized, as is its abil…