Krishna Chaitanya Kalagarla

According to our database1, Krishna Chaitanya Kalagarla authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Compositional Planning for Logically Constrained Multi-Agent Markov Decision Processes.
CoRR, 2024

2023
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes.
CoRR, 2023

Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation.
CoRR, 2023

2022
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints.
CoRR, 2022

Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications.
CoRR, 2021

Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications.
Proceedings of the 2021 American Control Conference, 2021

A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications.
CoRR, 2020

Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees.
CoRR, 2020


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