Sridhar Mahadevan
12 papers · 2007–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Pioneer
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Keyword Collector
(60)
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Trend Setter
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(9)
Reinforcement Learning
(6)
Methods
(6)
Optimization & Theory
(5)
Core Methods
(4)
Learning Types
(4)
Applications
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Application Areas
(1)
Core AI
(1)
Generation
(1)
Keywords
markov decision process
(3)
reinforcement learning
(3)
basis function
(2)
value function
(2)
value function approximation
(2)
average reward
(2)
markov decision processes
(1)
policy learning
(1)
graph laplacian
(1)
sparse representation
(1)
feature selection
(1)
deep learning
(1)
constrained optimization
(1)
dynamic regret
(1)
image generation
(1)
natural actor-critic
(1)
natural gradient
(1)
policy gradient
(1)
l1 regularization
(1)
hierarchical reinforcement learning
(1)
Papers
Rethinking AI: From Functions to Functors
AAAI 2026
Smoothed Online Combinatorial Optimization Using Imperfect Predictions
AAAI 2023
Generating and Controlling Diversity in Image Search
WACV 2022
Optimizing for the Future in Non-Stationary MDPs
ICML 2020
Proximal Gradient Temporal Difference Learning Algorithms
IJCAI 2016
Efficient Hyper-parameter Optimization for NLP Applications
EMNLP 2015
Manifold Alignment Preserving Global Geometry
IJCAI 2013
Projected Natural Actor-Critic
NeurIPS 2013
Regularized Off-Policy TD-Learning
NeurIPS 2012
Basis Construction from Power Series Expansions of Value Functions
NeurIPS 2010
Hierarchical Average Reward Reinforcement Learning
JMLR 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
JMLR 2007