Dileep Kalathil
19 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36) π¬ Deep Specialist (10)
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Grand Slam
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Keyword Champion
(4)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(93)
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Century Club Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(15)
Methods
(15)
Artificial Intelligence
(14)
Core AI
(12)
Machine Learning
(11)
Learning Types
(8)
Optimization & Theory
(8)
Applications
(6)
Mathematics & Optimization
(3)
Optimization
(3)
Deep Learning
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Robotics
(1)
Application Areas
(1)
Keywords
sample complexity
(5)
uncertainty set
(4)
safety constraint
(4)
constrained markov decision process
(4)
policy learning
(4)
robust reinforcement learning
(4)
reinforcement learning
(3)
offline reinforcement learning
(3)
safe reinforcement learning
(3)
markov decision process
(3)
regret bound
(2)
sparse reward
(2)
model-based reinforcement learning
(2)
generative model
(2)
in-context learning
(1)
natural policy gradient
(1)
constrained reinforcement learning
(1)
robot navigation
(1)
model robustness
(1)
reinforcement learning from human feedback
(1)
Papers
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage
L4DC 2025
Transformers are Provably Optimal In-context Estimators for Wireless Communications
AISTATS 2025
Federated Ensemble-Directed Offline Reinforcement Learning
NeurIPS 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
AAAI 2024
Risk-Averse Fine-tuning of Large Language Models
NeurIPS 2024
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
AISTATS 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NeurIPS 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NeurIPS 2022
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
NeurIPS 2022
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
NeurIPS 2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
ICLR 2022
Robust Reinforcement Learning using Offline Data
NeurIPS 2022
Safe Online Convex Optimization with Unknown Linear Safety Constraints
AAAI 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
AISTATS 2022
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
NeurIPS 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
AAAI 2021
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes
IJCAI 2021
Reinforcement Learning for Mean Field Games with Strategic Complementarities
AISTATS 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
ICML 2021