Neil Burch
9 papers · 2012–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🚀
Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Reinforcement Learning
(7)
Applications
(5)
Methods
(5)
Machine Learning
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic
(1)
Keywords
game theory
(4)
counterfactual regret minimization
(3)
extensive-form game
(3)
imperfect information game
(3)
monte carlo sampling
(2)
multi-agent reinforcement learning
(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 Poincaré 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
NeurIPS 2012