Srinivas Shakkottai
13 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
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Research topics
Reinforcement Learning
(8)
Methods
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Artificial Intelligence
(7)
Machine Learning
(6)
Applications · Reinforcement Learning
(5)
Core AI
(5)
Optimization & Theory
(5)
Learning Types
(3)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Optimization
(2)
Deep Learning
(1)
Robotics
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Applications · Robotics
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Architectures
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Keywords
constrained markov decision process
(3)
safety constraint
(3)
safe reinforcement learning
(3)
reinforcement learning
(2)
regret bound
(2)
sample complexity
(2)
sparse reward
(2)
policy learning
(2)
real-time control
(1)
sequential decision making
(1)
online learning
(1)
preference learning
(1)
constrained reinforcement learning
(1)
in-context learning
(1)
compressive sensing
(1)
game theory
(1)
offline reinforcement learning
(1)
equilibrium learning
(1)
reinforcement learning from human feedback
(1)
ensemble learning
(1)
Papers
CONGO: Compressive Online Gradient Optimization
ICLR 2025
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
ICLR 2025
Transformers are Provably Optimal In-context Estimators for Wireless Communications
AISTATS 2025
EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks
NSDI 2024
Federated Ensemble-Directed Offline Reinforcement Learning
NeurIPS 2024
Risk-Averse Fine-tuning of Large Language Models
NeurIPS 2024
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
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
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
NeurIPS 2021
Reinforcement Learning for Mean Field Games with Strategic Complementarities
AISTATS 2021