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2020 – today
- 2024
[c5]Victor Boone, Zihan Zhang:
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs. NeurIPS 2024- [i5]Victor Boone, Zihan Zhang:
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs. CoRR abs/2406.01234 (2024) - 2023
- [c4]Victor Boone, Bruno Gaujal:
Identification of Blackwell Optimal Policies for Deterministic MDPs. AISTATS 2023: 7392-7424 - [c3]Victor Boone, Bruno Gaujal:
The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning. ICML 2023: 2824-2856 - [c2]Victor Boone, Panayotis Mertikopoulos:
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games. NeurIPS 2023 - [i4]Victor Boone:
When do discounted-optimal policies also optimize the gain? CoRR abs/2304.08048 (2023) - [i3]Victor Boone, Panayotis Mertikopoulos:
The equivalence of dynamic and strategic stability under regularized learning in games. CoRR abs/2311.02407 (2023) - [i2]Victor Boone:
The Sliding Regret in Stochastic Bandits: Discriminating Index and Randomized Policies. CoRR abs/2311.18437 (2023)
2010 – 2019
- 2019
- [c1]Victor Boone, Georgios Piliouras:
From Darwin to Poincaré and von Neumann: Recurrence and Cycles in Evolutionary and Algorithmic Game Theory. WINE 2019: 85-99 - [i1]Victor Boone, Georgios Piliouras:
From Darwin to Poincaré and von Neumann: Recurrence and Cycles in Evolutionary and Algorithmic Game Theory. CoRR abs/1910.01334 (2019)
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