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