Dhruv Malik
8 papers · 2018–2023 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5)
π
Interdisciplinary Bridge
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Cross-Pollinator
(9)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
β
The Questioner
(2)
Conferences
ICML (3)
NIPS (2)
AISTATS (1)
COLT (1)
JMLR (1)
Top co-authors
Keywords
regret bound
(2)
sample complexity
(2)
policy optimization
(2)
derivative-free optimization
(2)
markov decision process
(1)
regret minimization
(1)
online learning
(1)
convergence rate
(1)
trajectory analysis
(1)
human memory
(1)
query complexity
(1)
continuous state space
(1)
reward learning
(1)
zero-order optimization
(1)
multi-armed bandit
(1)
partially observable markov decision process
(1)
condition number
(1)
gradient descent
(1)
representation learning
(1)
stochastic optimization
(1)
Papers
How Does Adaptive Optimization Impact Local Neural Network Geometry?
NIPS 2023
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
ICML 2023
Complete Policy Regret Bounds for Tallying Bandits
COLT 2022
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
ICML 2021
When Is Generalizable Reinforcement Learning Tractable?
NIPS 2021
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
JMLR 2020
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
AISTATS 2019
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
ICML 2018