Portrait of Vedant Shah

Vedant Shah

PhD - Université de Montréal
Supervisor
Research Topics
Computer Vision
Deep Learning
Generative Models
GFlowNets
Molecular Modeling
Probabilistic Models
Reasoning
Reinforcement Learning
Representation Learning

Publications

Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
Dianbo Liu
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael Curtis Mozer
Nicolas Heess
In Multi-Agent Reinforcement Learning (MARL), specialized channels are often introduced that allow agents to communicate directly with one a… (see more)nother. In this paper, we propose an alternative approach whereby agents communicate through an intelligent facilitator that learns to sift through and interpret signals provided by all agents to improve the agents’ collective performance. To ensure that this facilitator does not become a centralized controller, agents are incentivized to reduce their dependence on the messages it conveys, and the messages can only influence the selection of a policy from a fixed set, not instantaneous actions given the policy. We demonstrate the strength of this architecture over existing baselines on several cooperative MARL environments.