activity
20242026
most citedLearning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning

1 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.CR2025

AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration

Harish Karthikeyan, Yue Guo, Leo de Castro +5

As AI agents increasingly operate in complex environments, ensuring reliable, context-aware privacy is critical for regulatory compliance. Traditional access controls are insuffici…

cs.AI2025

PADME: Procedure Aware DynaMic Execution

Deepeka Garg, Sihan Zeng, Annapoorani L. Narayanan +2

Learning to autonomously execute long-horizon procedures from natural language remains a core challenge for intelligent agents. Free-form instructions such as recipes, scientific p…

cs.GT2025

Downside Risk-Aware Equilibria for Strategic Decision-Making

Oliver Slumbers, Benjamin Patrick Evans, Sumitra Ganesh +1

Game theory has traditionally had a relatively limited view of risk based on how a player's expected reward is impacted by the uncertainty of the actions of other players. Recently…

cs.LG2025

Modelling bounded rational decision-making through Wasserstein constraints

Benjamin Patrick Evans, Leo Ardon, Sumitra Ganesh

Modelling bounded rational decision-making through information constrained processing provides a principled approach for representing departures from rationality within a reinforce…

cs.SE2025

Generating Structured Plan Representation of Procedures with LLMs

Deepeka Garg, Sihan Zeng, Sumitra Ganesh +1

In this paper, we address the challenges of managing Standard Operating Procedures (SOPs), which often suffer from inconsistencies in language, format, and execution, leading to op…

cs.MA2025

ADAGE: A generic two-layer framework for adaptive agent based modelling

Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh +1

Agent-based models (ABMs) are valuable for modelling complex, potentially out-of-equilibria scenarios. However, ABMs have long suffered from the Lucas critique, stating that agent…