Dileep Kalathil
19 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(6)
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Grand Slam
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Keyword Champion
(4)
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Unstoppable
(5)
ποΈ
Keyword Collector
(80)
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Prolific Year
(5)
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Century Club
(19)
Conferences
NIPS (8)
AISTATS (4)
AAAI (3)
ICLR (1)
ICML (1)
IJCAI (1)
L4DC (1)
Top co-authors
Keywords
sample complexity
(4)
constrained markov decision process
(4)
robust reinforcement learning
(4)
uncertainty set
(4)
safety constraint
(4)
policy learning
(4)
reinforcement learning
(3)
markov decision process
(3)
safe reinforcement learning
(3)
offline reinforcement learning
(2)
generative model
(2)
model-based reinforcement learning
(2)
regret bound
(2)
pac learning
(1)
natural policy gradient
(1)
constrained reinforcement learning
(1)
robot navigation
(1)
model robustness
(1)
function approximation
(1)
robust optimization
(1)
Papers
Transformers are Provably Optimal In-context Estimators for Wireless Communications
AISTATS 2025
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage
L4DC 2025
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
AAAI 2024
Risk-Averse Fine-tuning of Large Language Models
NIPS 2024
Federated Ensemble-Directed Offline Reinforcement Learning
NIPS 2024
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NIPS 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
AISTATS 2023
Safe Online Convex Optimization with Unknown Linear Safety Constraints
AAAI 2022
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
NIPS 2022
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
NIPS 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NIPS 2022
Robust Reinforcement Learning using Offline Data
NIPS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
AISTATS 2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
ICLR 2022
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
NIPS 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
AAAI 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
ICML 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