Noam Brown
23 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π¬
Deep Specialist
(19)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(81)
Venues
Top co-authors
Research topics
Artificial Intelligence
(22)
Core AI
(22)
Reinforcement Learning
(11)
Machine Learning
(10)
Applications
(7)
Optimization & Theory
(7)
Methods
(6)
Mathematics & Optimization
(5)
Learning Types Β· Machine Learning
(5)
Optimization
(5)
Deep Learning
(3)
Learning Types Β· Deep Learning
(2)
Architectures
(1)
Keywords
imperfect information game
(9)
game theory
(9)
counterfactual regret minimization
(6)
multi-agent system
(5)
search algorithm
(5)
nash equilibrium
(5)
extensive-form game
(4)
zero-sum game
(4)
regret minimization
(3)
reinforcement learning
(3)
multi-agent reinforcement learning
(3)
imitation learning
(2)
decision-time planning
(2)
magnetic mirror descent
(2)
equilibrium computation
(2)
subgame solving
(2)
online planning
(1)
dynamic programming
(1)
imperfect information
(1)
model-based reinforcement learning
(1)
Papers
The Update-Equivalence Framework for Decision-Time Planning
ICLR 2024
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
ICML 2023
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
ICLR 2023
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
ICLR 2023
A Fine-Tuning Approach to Belief State Modeling
ICLR 2022
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization
AAAI 2022
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
ICML 2022
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
ICLR 2021
No-Press Diplomacy from Scratch
NeurIPS 2021
Off-Belief Learning
ICML 2021
Safe Search for Stackelberg Equilibria in Extensive-Form Games
AAAI 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
NeurIPS 2021
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
NeurIPS 2020
Improving Policies via Search in Cooperative Partially Observable Games
AAAI 2020
Deep Counterfactual Regret Minimization
ICML 2019
Solving Imperfect-Information Games via Discounted Regret Minimization
AAAI 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization
ICML 2019
Depth-Limited Solving for Imperfect-Information Games
NeurIPS 2018
Libratus: The Superhuman AI for No-Limit Poker
IJCAI 2017
Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning
ICML 2017
Safe and Nested Subgame Solving for Imperfect-Information Games
NeurIPS 2017
Regret-Based Pruning in Extensive-Form Games
NeurIPS 2015
Simultaneous Abstraction and Equilibrium Finding in Games
IJCAI 2015