Hao-Lun Hsu
5 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Keywords
regret bound
(3)
langevin monte carlo
(2)
markov decision process
(2)
thompson sampling
(2)
reinforcement learning
(2)
multi-agent reinforcement learning
(2)
adversarial training
(2)
delayed feedback
(1)
cooperative multi-agent system
(1)
exploration strategy
(1)
cooperative multi-agent
(1)
randomized exploration
(1)
parallel markov decision process
(1)
deep q-network
(1)
safe exploration
(1)
multi-agent system
(1)
cooperative exploration
(1)
federated learning
(1)
robust exploration
(1)
adversarial learning
(1)
Papers
Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation
L4DC 2025
Variational Adversarial Training Towards Policies with Improved Robustness
AISTATS 2025
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
AAAI 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
Robust exploration with adversary via Langevin Monte Carlo
L4DC 2024