Krishna Chaitanya Kalagarla

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Optimal Control

Markov Decision Process

Top Venues

Publications

Krishna Chaitanya Kalagarla, Dhruva Kartik, Dongming Shen, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes. CoRR (2023)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation. CoRR (2023)
Krishna Chaitanya Kalagarla, Kartik Dhruva, Dongming Shen, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints. UAI (2022)
Krishna Chaitanya Kalagarla, Dhruva Kartik, Dongming Shen, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints. CoRR (2022)
Nathan Dahlin, Kevin Chang, Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers. Allerton (2022)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications. CDC (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications. CoRR (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications. ACC (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. AAAI (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. CoRR (2020)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. CoRR (2020)
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR (2020)