The Operator Approach to Entropy Games. - Marianne Akian; Stéphane Gaubert; Julien Grand-Clément; Jérémie Guillaud (Theory Comput. Syst., 2019)

Robust Policies For Proactive ICU Transfers. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Gabriel J. Escobar (CoRR, 2020)

Scalable First-Order Methods for Robust MDPs. - Julien Grand-Clément; Christian Kroer (AAAI, 2021)

First-Order Methods for Wasserstein Distributionally Robust MDP. - Julien Grand-Clément; Christian Kroer (ICML, 2021)

Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving. - Julien Grand-Clément; Christian Kroer (NeurIPS, 2021)

Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Elizabeth Chuang (CoRR, 2021)

Robust and Interpretable Sequential Decision-Making for Healthcare. - Julien Grand-Clément (2021)

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations. - Julien Grand-Clément; Jean Pauphilet (CoRR, 2022)

On the convex formulations of robust Markov decision processes. - Julien Grand-Clément; Marek Petrik (CoRR, 2022)

Regret Matching+: (In)Stability and Fast Convergence in Games. - Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo (NeurIPS, 2023)

Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor. - Julien Grand-Clément; Marek Petrik (NeurIPS, 2023)

Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality. - Julien Grand-Clément; Marek Petrik; Nicolas Vieille (CoRR, 2023)

Robustness of Proactive Intensive Care Unit Transfer Policies. - Julien Grand-Clément; Carri W. Chan; Vineet Goyal; Gabriel J. Escobar (Oper. Res., 2023)

Robust Markov Decision Processes: Beyond Rectangularity. - Vineet Goyal; Julien Grand-Clément (Math. Oper. Res., 2023)

A First-Order Approach to Accelerated Value Iteration. - Vineet Goyal; Julien Grand-Clément (Oper. Res., 2023)

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (NeurIPS, 2024)

Extensive-Form Game Solving via Blackwell Approachability on Treeplexes. - Darshan Chakrabarti; Julien Grand-Clément; Christian Kroer (NeurIPS, 2024)

Stationary Policies are Optimal in Risk-averse Total-reward MDPs with EVaR. - Xihong Su; Marek Petrik; Julien Grand-Clément (CoRR, 2024)

Solving Optimization Problems with Blackwell Approachability. - Julien Grand-Clément; Christian Kroer (Math. Oper. Res., 2024)

Risk-averse Total-reward MDPs with ERM and EVaR. - Xihong Su; Marek Petrik; Julien Grand-Clément (AAAI, 2025)

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (ICLR, 2025)

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (CoRR, 2025)

Playing against a stationary opponent. - Julien Grand-Clément; Nicolas Vieille (CoRR, 2025)

Thresholds for sensitive optimality and Blackwell optimality in stochastic games. - Stéphane Gaubert; Julien Grand-Clément; Ricardo D. Katz (CoRR, 2025)