Finbarr Timbers

5 papers · 2019–2024 · 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AAAI (2) IJCAI (2) ICML (1)

Top co-authors

Marc Lanctot (4) Edward Lockhart (4) Michael Bowling (2) Jean-Baptiste Lespiau (2) Neil Burch (2) Julien Pérolat (2) Martin Schmid (2) Karl Tuyls (2) G. Zacharias Holland (1) Dustin Morrill (1)

Research topics

Reinforcement Learning (5) Artificial Intelligence (4) Core AI (4) Methods (4) Applications (3) Machine Learning (2) Deep Learning (1) Mathematics & Optimization (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Optimization (1) Optimization & Theory (1)

Keywords

game theory (4) zero-sum game (2) nash equilibrium (2) imperfect information (2) policy optimization (1) policy gradient (1) deep learning (1) model-based reinforcement learning (1) worst-case performance (1) approximate policy iteration (1) mirror descent (1) temporal abstraction (1) extensive-form game (1) sequential game (1) option discovery (1) common-payoff game (1) bayesian action decoder (1) mirror ascent (1) joint policy (1) neural network (1)

Papers

Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Approximate Exploitability: Learning a Best Response IJCAI 2022 Solving Common-Payoff Games with Approximate Policy Iteration AAAI 2021 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019