collaborators

5 papers

cs.MA2026

Bayesian Partner Modelling enables Adaptive Replanning for LLM Coordination

Harsh Goel, Aditya Sai Ellendula, Vaishnav Tadiparthi +3

Multi-agent Large Language Model (LLM) systems often struggle to collaborate with new teammates whose strategies shift mid-task. Because agents execute multi-step or temporally ext…

cs.LG2026

Learning Material-Aware Hamiltonian Risk Fields for Safe Navigation

Aditya Sai Ellendula, Yi Wang, Chandrajit Bajaj

Risk-aware navigation should be selective: a policy should expose evasive degrees of freedom only when the local scene admits a lower-risk feasible maneuver, and suppress them when…

cs.LG2025

GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments

Aditya Sai Ellendula, Yi Wang, Minh Nguyen +1

We present GRL-SNAM, a geometric reinforcement learning framework for Simultaneous Navigation and Mapping(SNAM) in unknown environments. A SNAM problem is challenging as it needs t…

cs.LG2025

Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation

Aditya S Ellendula, Chandrajit Bajaj

We present a dynamic self-balancing octree data structure that enables efficient neighborhood maintenance in evolving metric spaces, a key challenge in modern machine learning syst…

cs.LG2025

Geometric Preference Elicitation for Minimax Regret Optimization in Uncertainty Matroids

Aditya Sai Ellendula, Arun K Pujari, Vikas Kumar +1

This paper presents an efficient preference elicitation framework for uncertain matroid optimization, where precise weight information is unavailable, but insights into possible we…