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Krishna C Kalagarla
Researcher, Amazon
Joined
February 2022
Names
Krishna C Kalagarla
(Preferred)
,
Krishna Chaitanya Kalagarla
Emails
****@usc.edu
(Confirmed)
,
****@unm.edu
(Confirmed)
,
****@amazon.com
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Researcher
Amazon
(amazon.com)
2025
–
Present
Postdoc
University of New Mexico
(unm.edu)
2023
–
2024
PhD student
University of Southern California
(usc.edu)
2016
–
2023
Undergrad student
Indian Institute of Technology, Kanpur
(iitk.ac.in)
2011
–
2016
Advisors, Relations & Conflicts
Postdoc Advisor
Meeko Oishi
2023
–
2024
PhD Advisor
Pierluigi Nuzzo
2017
–
2023
PhD Advisor
Rahul Jain
2016
–
2023
Expertise
Online Learning
2019
–
Present
Temporal Logic
2018
–
Present
Reinforcement Learning
2016
–
Present
Publications
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
Krishna C Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
AISTATS 2025 Poster
Readers:
Everyone
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation
Krishna C Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
NeurIPS 2023 Workshop Poster
Readers:
Everyone
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation
Krishna Chaitanya Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
Published: 01 Jan 2023, Last Modified: 15 May 2023
CoRR 2023
Readers:
Everyone
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints
Krishna C Kalagarla
,
Dhruva Kartik
,
Rahul Jain
,
Pierluigi Nuzzo
,
Ashutosh Nayyar
,
Dongming Shen
Published: 20 May 2022, Last Modified: 05 May 2023
UAI 2022 Poster
Readers:
Everyone
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints
Krishna Chaitanya Kalagarla
,
Dhruva Kartik
,
Dongming Shen
,
Rahul Jain
,
Ashutosh Nayyar
,
Pierluigi Nuzzo
Published: 01 Jan 2022, Last Modified: 15 May 2023
CoRR 2022
Readers:
Everyone
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
Krishna Chaitanya Kalagarla
,
Kartik Dhruva
,
Dongming Shen
,
Rahul Jain
,
Ashutosh Nayyar
,
Pierluigi Nuzzo
Published: 01 Jan 2022, Last Modified: 15 May 2023
UAI 2022
Readers:
Everyone
Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers
Nathan Dahlin
,
Kevin Chang
,
Krishna Chaitanya Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
Published: 01 Jan 2022, Last Modified: 15 May 2023
Allerton 2022
Readers:
Everyone
Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications
Krishna Chaitanya Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
Published: 01 Jan 2021, Last Modified: 15 May 2023
ACC 2021
Readers:
Everyone
Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications
Krishna Chaitanya Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
Published: 01 Jan 2021, Last Modified: 15 May 2023
CDC 2021
Readers:
Everyone
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
Krishna Chaitanya Kalagarla
,
Rahul Jain
,
Pierluigi Nuzzo
Published: 01 Jan 2021, Last Modified: 15 May 2023
AAAI 2021
Readers:
Everyone
View all 14 publications
Co-Authors
Ashutosh Nayyar
Dhruva Kartik
Dongming Shen
Kartik Dhruva
Kevin Chang
Nathan Dahlin
Nikhil Naik
Pierluigi Nuzzo
Rahul Jain