Chin Pang Ho
11 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Keywords
robust markov decision process
(6)
ambiguity set
(5)
robust optimization
(4)
bellman update
(3)
policy iteration
(2)
reinforcement learning
(2)
homotopy continuation
(2)
policy gradient
(2)
markov decision process
(2)
optimization algorithm
(2)
global convergence
(1)
approximate dynamic programming
(1)
linear programming
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worst-case performance
(1)
sequential decision making
(1)
asymptotic optimality
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value iteration
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knowledge gradient
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distributionally robust optimization
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distributional reinforcement learning
(1)
Papers
DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation
UAI 2026
Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity
ICML 2025
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
NeurIPS 2023
Improving the Knowledge Gradient Algorithm
NeurIPS 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee
ICML 2023
Robust Satisficing MDPs
ICML 2023
Robust Ο-Divergence MDPs
NeurIPS 2022
Fast Algorithms for L_β-constrained S-rectangular Robust MDPs
NeurIPS 2021
Optimizing Percentile Criterion using Robust MDPs
AISTATS 2021
Partial Policy Iteration for L1-Robust Markov Decision Processes
JMLR 2021
Fast Bellman Updates for Robust MDPs
ICML 2018