← Search

Siddharth Nayak

3 accepted papers

2024

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments

NeurIPS 2024poster

The ability of Language Models (LMs) to understand natural language makes them a powerful tool for parsing human instructions into task plans for autonomous robots. Unlike traditional planning methods that rely on domain-specific knowledge and handcrafted rules, LMs generalize from diverse data and…

2023

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

ICML 2023poster

We consider the problem of multi-agent navigation and collision avoidance when observations are limited to the local neighborhood of each agent. We propose InforMARL, a novel architecture for multi-agent reinforcement learning (MARL) which uses local information intelligently to compute paths for al…

2022

NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming

AAAI 2022technical

Integer programs provide a powerful abstraction for representing a wide range of real-world scheduling problems. Despite their ability to model general scheduling problems, solving large-scale integer programs (IP) remains a computational challenge in practice. The incorporation of more complex obje…