P. R. Kumar
9 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Keyword Champion (2) β The Questioner
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(8)
Artificial Intelligence
(6)
Reinforcement Learning
(6)
Learning Types
(6)
Methods
(6)
Core AI
(5)
Mathematics & Optimization
(2)
Optimization
(2)
Computer Vision
(1)
Robotics
(1)
Analysis
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Keywords
reinforcement learning
(3)
natural policy gradient
(3)
regret bound
(3)
nash equilibrium
(2)
markov decision process
(2)
multi-armed bandit
(2)
adaptive control
(2)
markov potential game
(2)
maximum likelihood estimation
(2)
model robustness
(1)
exploration-exploitation tradeoff
(1)
natural gradient
(1)
function approximation
(1)
natural actor-critic
(1)
multi-agent reinforcement learning
(1)
robust reinforcement learning
(1)
policy evaluation
(1)
multi-objective optimization
(1)
thompson sampling
(1)
transformation invariance
(1)
Papers
Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL
NeurIPS 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
AISTATS 2024
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NeurIPS 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
NeurIPS 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NeurIPS 2022
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
NeurIPS 2022
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
NeurIPS 2022
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
AAAI 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021