Research Areas & Publications

AI Models for Autonomy

Behavioral Planning

AI Models for behavioral planning for autonomy based on SOTA architectures including Transformers

Perception and Dynamic Occlusion Analysis

Perception to produce state estimates in real time and dynamic occlusion analysis

Synthetic Data Generation

Automatic Scene Generation

For high density of edge/corner cases in datasets

Agent Modeling

Imitation learning based behavioral models for drivers, bicyclists and pedestrians

Featured Publications

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes

KC Kalagarla, D Kartik, D Shen, R Jain, A Nayyar, P Nuzzo

IEEE Transactions on Automatic Control 2024

Conditional Kernel Imitation Learning for Continuous State Environments

R Agrawal, N Dahlin, R Jain, A Nayyar

arXiv preprint arXiv:2308.12573

Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers

N Dahlin, K Chang, KC Kalagarla, R Jain, P Nuzzo

2022 58th Annual Allerton Conference on Communication, Control, and …

Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints

KC Kalagarla, K Dhruva, D Shen, R Jain, A Nayyar, P Nuzzo

Uncertainty in Artificial Intelligence, 949-958

Cost-Optimal Control of Markov Decision Processes Under Signal Temporal Logic Constraints

KC Kalagarla, R Jain, P Nuzzo

2021 Seventh Indian Control Conference (ICC), 317-322

Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications

KC Kalagarla, R Jain, P Nuzzo

arXiv preprint arXiv:2109.13377, Proc. CDC 2021

Optimal Control of Discounted-reward Markov Decision Processes Under Linear Temporal Logic Specifications

KC Kalagarla, R Jain, P Nuzzo

2021 American Control Conference (ACC), 1268-1274

Designing Interpretable Approximations to Deep Reinforcement Learning

N Dahlin, KC Kalagarla, N Naik, R Jain, P Nuzzo

arXiv preprint arXiv:2010.14785

Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation

KC Kalagarla, R Jain, P Nuzzo

OPT 2023: Optimization for Machine Learning (NeurIPS 2023 Workshop)

Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees

N Dahlin, KC Kalagarla, N Naik, R Jain, P Nuzzo

arXiv preprint arXiv:2010.14785

Synthesis of Discounted-reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications

KC Kalagarla, R Jain, P Nuzzo

arXiv preprint arXiv:2011.00632

A sample-efficient Algorithm for Episodic Finite-horizon MDP with Constraints

KC Kalagarla, R Jain, P Nuzzo

Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8030-8037

Page updated

Report abuse