Mridul Agarwal
10 papers · 2021–2023 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (10)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
regret bound
(6)
multi-armed bandit
(3)
markov decision process
(2)
reinforcement learning
(2)
multi-agent system
(2)
constrained markov decision process
(2)
sample complexity
(2)
combinatorial bandit
(2)
distributed learning
(2)
primal-dual optimization
(1)
exploration-exploitation tradeoff
(1)
global convergence
(1)
model-based reinforcement learning
(1)
fitted q-iteration
(1)
policy optimization
(1)
distributed optimization
(1)
divide and conquer
(1)
zero constraint violation
(1)
collaborative learning
(1)
subset selection
(1)
Papers
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
ICML 2023
Reinforcement Learning for Joint Optimization of Multiple Rewards
JMLR 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
AAAI 2022
An explore-then-commit algorithm for submodular maximization under full-bandit feedback
UAI 2022
Multi-Agent Multi-Armed Bandits with Limited Communication
JMLR 2022
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
JMLR 2022
Regret guarantees for model-based reinforcement learning with long-term average constraints
UAI 2022
Communication efficient parallel reinforcement learning
UAI 2021
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
AAAI 2021
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback
ALT 2021