Adam Wierman
14
Papers
17
Total Citations
Papers (14)
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
ICML 2025
7
citations
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
ICML 2025
4
citations
Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
NeurIPS 2025
3
citations
Fusing Reward and Dueling Feedback in Stochastic Bandits
ICML 2025
1
citations
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
NeurIPS 2025
1
citations
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
NeurIPS 2025arXiv
1
citations
Chasing Convex Functions with Long-term Constraints
ICML 2024
0
citations
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
ICML 2024
0
citations
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
ICML 2024
0
citations
Online Algorithms with Uncertainty-Quantified Predictions
ICML 2024
0
citations
Fairness-Regularized Online Optimization with Switching Costs
NeurIPS 2025arXiv
0
citations
Model-Free Robust $\phi$-Divergence Reinforcement Learning Using Both Offline and Online Data
ICML 2024
0
citations
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
NeurIPS 2025
0
citations
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
ICML 2024
0
citations