4.6k citations · 4.9k across the 28 of their papers we have counts for
28 papers
Representation Without Reward: A JEPA Audit for LLM Fine-Tuning
Biswa Sengupta
Joint-embedding predictive architectures (JEPAs) propose that a model should learn more useful abstractions when trained to predict latent representations rather than observed outp…
JPmHC Dynamical Isometry via Orthogonal Hyper-Connections
Biswa Sengupta, Jinhua Wang, Leo Brunswic
Recent advances in deep learning, exemplified by Hyper-Connections (HC), have expanded the residual connection paradigm by introducing wider residual streams and diverse connectivi…
Learning Multi-Agent Communication with Contrastive Learning
Yat Long Lo, Biswa Sengupta, Jakob Foerster +1
Communication is a powerful tool for coordination in multi-agent RL. But inducing an effective, common language is a difficult challenge, particularly in the decentralized setting.…
Learning to Infer Belief Embedded Communication
Guo Ye, Han Liu, Biswa Sengupta
In multi-agent collaboration problems with communication, an agent's ability to encode their intention and interpret other agents' strategies is critical for planning their future…
Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning
Qinjie Lin, Han Liu, Biswa Sengupta
We propose SwitchTT, a multi-task extension to Trajectory Transformer but enhanced with two striking features: (i) exploiting a sparsely activated model to reduce computation cost…
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
Tim Tsz-Kit Lau, Biswa Sengupta
We study two state-of-the-art solutions to the multi-agent pickup and delivery (MAPD) problem based on different principles -- multi-agent path-finding (MAPF) and multi-agent reinf…