Martin Schmid
8 papers · 2016–2026 · 4 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
Jump to papers ↓+2 more ↓ Show less ↑
🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(4)
Reinforcement Learning
(3)
Applications
(3)
Optimization & Theory
(3)
Methods
(2)
Deep Learning
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
game theory
(3)
extensive-form game
(3)
counterfactual regret minimization
(3)
variance reduction
(2)
policy gradient
(1)
regret minimization
(1)
worst-case performance
(1)
monte carlo sampling
(1)
partial observability
(1)
approximate policy iteration
(1)
parallel algorithm
(1)
stochastic game
(1)
sampling method
(1)
game tree
(1)
monte carlo method
(1)
impartial game
(1)
combinatorial game
(1)
imperfect information game
(1)
common-payoff game
(1)
bayesian action decoder
(1)
Papers
Massively Parallel Proof-Number Search for Impartial Games and Beyond
AAAI 2026
Learning Not to Regret
AAAI 2024
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract)
IJCAI 2023
Approximate Exploitability: Learning a Best Response
IJCAI 2022
Solving Common-Payoff Games with Approximate Policy Iteration
AAAI 2021
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
ICML 2020
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines
AAAI 2019
Text Understanding with the Attention Sum Reader Network
ACL 2016