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ORCIDKrishna Chaitanya Kalagarla
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2020 – today
- 2023
[i7]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation. CoRR abs/2301.11547 (2023)- [i6]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 abs/2305.14736 (2023) - 2022
- [c5]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: 1-8 - [c4]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: 949-958 - [i5]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 abs/2203.09038 (2022) - 2021
- [c3]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. AAAI 2021: 8030-8037 - [c2]Krishna Chaitanya Kalagarla, Rahul Jain
, Pierluigi Nuzzo:
Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications. ACC 2021: 1268-1274 - [c1]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: 2252-2257 - [i4]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications. CoRR abs/2109.13377 (2021) - 2020
- [i3]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. CoRR abs/2009.11348 (2020) - [i2]Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo:
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR abs/2010.14785 (2020) - [i1]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. CoRR abs/2011.00632 (2020)
Coauthor Index
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