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Neil Burch

9 papers · 2012–2024 · 4 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (16) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (12) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

IJCAI (4) AAAI (2) ICML (2) NIPS (1)

Top co-authors

Michael Bowling (6) Marc Lanctot (5) Martin Schmid (4) Finbarr Timbers (2) Viliam Lisy (2) Edward Lockhart (2) Elnaz Davoodi (1) Nolan Bard (1) Ryan D'Orazio (1) RΓ©mi Munos (1)

Keywords

game theory (4) counterfactual regret minimization (3) imperfect information game (3) multi-agent reinforcement learning (2) monte carlo sampling (2) extensive-form game (2) bayesian action decoder (2) monte carlo method (2) nash equilibrium (2) policy gradient (1) bayesian inference (1) reinforcement learning (1) partial observability (1) approximate policy iteration (1) poker (1) stochastic game (1) worst-case performance (1) zero-sum game (1) bluff (1) equilibrium computation (1)

Papers

Look-ahead Search on Top of Policy Networks in Imperfect Information Games IJCAI 2024
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract) IJCAI 2023
Approximate Exploitability: Learning a Best Response IJCAI 2022
From PoincarΓ© Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021
Solving Common-Payoff Games with Approximate Policy Iteration AAAI 2021
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
Solving Heads-Up Limit Texas Hold'em IJCAI 2015
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NIPS 2012