Pihe Hu
5 papers · 2022–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Keywords
regret bound
(2)
model compression
(2)
neural network compression
(1)
neural network pruning
(1)
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
function approximation
(1)
sample complexity
(1)
minimax optimality
(1)
linear function approximation
(1)
minimax optimal
(1)
human feedback
(1)
upper confidence bound
(1)
linear mdp
(1)
dynamic sparse training
(1)
value-based learning
(1)
sparse training
(1)
sparse network
(1)
linear markov decision process
(1)
Papers
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
ICLR 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
NeurIPS 2024
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
ICLR 2023
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs
ICLR 2023
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
ICML 2022