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Luca Viano

12 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (20) 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (62)
πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze

Venues

ICML (6) NeurIPS (5) COLT (1)

Top co-authors

Volkan Cevher (11) Stratis Skoulakis (4) Gergely Neu (2) Fanghui Liu (2) Antoine Moulin (1) Boris Nikolov (1) Yu-Ting Huang (1) Stefano Viel (1) Parameswaran Kamalaruban (1) Adrian Weller (1)

Research topics

Reinforcement Learning (8) Machine Learning (7) Methods (7) Optimization & Theory (6) Artificial Intelligence (5) Core AI (4) Mathematics & Optimization (3) Learning Types (3) Optimization (3) Applications (1) Learning Paradigms (1)

Keywords

online learning (3) regret bound (3) function approximation (2) nash equilibrium (2) imitation learning (2) inverse reinforcement learning (2) natural actor-critic (1) regret minimization (1) stochastic gradient descent (1) robust reinforcement learning (1) sample complexity (1) adversarial learning (1) bandit feedback (1) linear function approximation (1) reward function (1) policy optimization (1) sample efficiency (1) optimistic exploration (1) temporal difference (1) reinforcement learning (1)

Papers

Best of Both Worlds: Regret Minimization versus Minimax Play ICML 2025 IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic ICML 2025 Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning COLT 2025 Imitation Learning in Discounted Linear MDPs without exploration assumptions ICML 2024 Alternation makes the adversary weaker in two-player games NeurIPS 2023 Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023 What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023 A Natural Actor-Critic Framework for Zero-Sum Markov Games ICML 2022 Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning NeurIPS 2022 Proximal Point Imitation Learning NeurIPS 2022 Understanding Deep Neural Function Approximation in Reinforcement Learning via Ξ΅-Greedy Exploration NeurIPS 2022 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021