An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. - Jayabrata Chowdhury; Suresh Sundaram 002; Nishanth Rao; Narasimhan Sundararajan (CoRR, 2022)

Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving. - Jayabrata Chowdhury; Vishruth Veerendranath; Suresh Sundaram 002; Narasimhan Sundararajan (CoRR, 2023)

Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning. - Jayabrata Chowdhury; Venkataramanan Shivaraman; Suresh Sundaram 002; P. B. Sujit (AAAI, 2024)

Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment. - Jayabrata Chowdhury; Venkataramanan Shivaraman; Sumit Dangi; Suresh Sundaram 002; P. B. Sujit (SMC, 2024)

Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Vehicle Decision-Making in Dynamic Environment. - Jayabrata Chowdhury; Venkataramanan Shivaraman; Sumit Dangi; Suresh Sundaram 002; P. B. Sujit (CoRR, 2024)

An Efficient Deep Spatio-Temporal Context Aware Decision Network (DST-CAN) for Predictive Manoeuvre Planning on Highways. - Jayabrata Chowdhury; Suresh Sundaram 002; Nishanth Rao; Narasimman Sundararajan (IEEE Trans. Intell. Transp. Syst., 2025)