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Dileep Kalathil — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dileep Kalathil
31
papers ·
117
citations ·
17
h-index
Texas A&M University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
2022 · 27 citations
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
2021 · 16 citations
Robust Reinforcement Learning using Offline Data
2022 · 15 citations
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
2020 · 12 citations
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
2020 · 11 citations
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
2021 · 9 citations
Sample Complexity of Robust Reinforcement Learning with a Generative Model
2021 · 7 citations
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
2019 · 4 citations
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
2022 · 3 citations
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
2022 · 2 citations
Federated Ensemble-Directed Offline Reinforcement Learning
2023 · 2 citations
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
2025 · 1 citations
Reinforcement Learning for Mean Field Games with Strategic Complementarities
2020 · 1 citations
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning
2021 · 1 citations
Policy Optimization for Constrained MDPs with Provable Fast Global Convergence
2021 · 1 citations
Top co-authors
Srinivas Shakkottai
· 7
Kishan Panaganti
· 6
Ruida Zhou
· 4
Tao Liu
· 4
Blake Olson
· 1
Debdeep Pati
· 1
Eric Li
· 1
Hongyi Ling
· 1
Jaewon Kim
· 1
James Caverlee
· 1
Jean-Francois Chamberland
· 1
Krishna Narayanan
· 1
Topics
Model-Based RL
Safe RL
Offline RL
Value-Based
Policy Gradient
Exploration
cs.LG
Multi-Agent
RLHF & Alignment
Meta-RL