3 papers
cs.MA2026
Turnover-Orthogonal Credit Assignment for Open-Team Multi-Agent Reinforcement Learning
Amit Thakur, Mukesh Singhal
Open-team multi-agent reinforcement learning studies cooperative systems in which agents may join, leave, or be replaced during an episode. In such settings, the team return change…
cs.CV2026
CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
Sharath Girish, Tsai-Shien Chen, Zhikang Dong +4
Cinematic video depicts multiple subjects acting or interacting at specific moments, captured with deliberate camera movement, and stitched together by shot transitions. Together,…
cs.LG2026
A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models
Aditya Ranganath, Mukesh Singhal
We survey continuous-time generative modeling methods based on transporting a simple reference distribution to a data distribution via stochastic or deterministic dynamics. We pres…