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• Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version
  2019 · 4 citations
• Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
  2022 · 2 citations
• Time-Constrained Robust MDPs
  2024 · 1 citations
• Solving robust MDPs as a sequence of static RL problems
  2024 · 1 citations
• Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
  2025
• A Markov Decision Process for Variable Selection in Branch & Bound
  2025
• A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem
  2019
• Large Batch Experience Replay
  2021
• Neural Distillation as a State Representation Bottleneck in Reinforcement Learning
  2022
• Bootstrapping Expectiles in Reinforcement Learning
  2024
• RRLS : Robust Reinforcement Learning Suite
  2024