Sihong He
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Keywords
conformal prediction
(1)
policy optimization
(1)
uncertainty quantification
(1)
constrained reinforcement learning
(1)
sample complexity
(1)
autonomous driving
(1)
trajectory prediction
(1)
motion forecasting
(1)
model uncertainty
(1)
markov decision process
(1)
nash equilibrium
(1)
gaussian process regression
(1)
distribution shift
(1)
hessian approximation
(1)
mirror descent
(1)
transfer reinforcement learning
(1)
subgradient descent
(1)
linear convergence
(1)
robust dynamic programming
(1)
robust optimization
(1)
Papers
Robust Constrained Markov Games: Multi-Agent Decision-Making under Model Uncertainty and Constraints
UAI 2026
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
AAAI 2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
ICML 2025
Constrained Reinforcement Learning Under Model Mismatch
ICML 2024
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
ICML 2024
Policy Optimization for Robust Average Reward MDPs
NeurIPS 2024