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Erick Delage — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Erick Delage
12
papers ·
6
citations ·
26
h-index
HEC Montréal · Group for Research in Decision Analysis
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering
2021 · 4 citations
Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning
2025 · 1 citations
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
2023 · 1 citations
Actor-Critic Algorithm for Dynamic Expectile and CVaR
2026
Epistemic Robust Offline Reinforcement Learning
2026
Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
2026
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
2024
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
2021
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management
2021
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
2024
Top co-authors
Esther Derman
· 2
Jia Lin Hau
· 2
Jonathan Yumeng Li
· 2
Marek Petrik
· 2
Mohammad Ghavamzadeh
· 2
Saeed Marzban
· 2
Yossiri Adulyasak
· 2
Abderrahim Fathan
· 1
Abhilash Reddy Chenreddy
· 1
Aneri Muni
· 1
Carl Dussault
· 1
Djordje Grbic
· 1
Topics
Value-Based
Safe RL
cs.LG
Policy Gradient
Model-Based RL
cs.AI
Multi-Agent
Offline RL