3 papers
cs.MA2025
Logic-based Task Representation and Reward Shaping in Multiagent Reinforcement Learning
Nishant Doshi
This paper presents an approach for accelerated learning of optimal plans for a given task represented using Linear Temporal Logic (LTL) in multi-agent systems. Given a set of opti…
cs.RO2025
Improved Vehicle Maneuver Prediction using Game Theoretic Priors
Nishant Doshi
Conventional maneuver prediction methods use some sort of classification model on temporal trajectory data to predict behavior of agents over a set time horizon. Despite of having…
cs.RO2025
Learning Obstacle Avoidance using Double DQN for Quadcopter Navigation
Nishant Doshi, Amey Sutavani, Sanket Gujar
One of the challenges faced by Autonomous Aerial Vehicles is reliable navigation through urban environments. Factors like reduction in precision of Global Positioning System (GPS),…