Thore Graepel
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Artificial intelligence researcher
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Computer Science
Why Is Thore Graepel Influential?
(Suggest an Edit or Addition)Thore Graepel's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Mastering the game of Go with deep neural networks and tree search (2016) (13400)
- Mastering the game of Go without human knowledge (2017) (7165)
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (2018) (2281)
- Private traits and attributes are predictable from digital records of human behavior (2013) (2256)
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017) (1211)
- Mastering Atari, Go, chess and shogi by planning with a learned model (2019) (1081)
- Large Margin Rank Boundaries for Ordinal Regression (2000) (1017)
- Value-Decomposition Networks For Cooperative Multi-Agent Learning (2017) (768)
- TrueSkillTM: A Bayesian Skill Rating System (2006) (655)
- Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine (2010) (560)
- Support vector learning for ordinal regression (1999) (499)
- Multi-agent Reinforcement Learning in Sequential Social Dilemmas (2017) (496)
- Human-level performance in 3D multiplayer games with population-based reinforcement learning (2018) (492)
- A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning (2017) (461)
- ML Confidential: Machine Learning on Encrypted Data (2012) (433)
- Personality and patterns of Facebook usage (2012) (307)
- Matchbox: large scale online bayesian recommendations (2009) (277)
- Generalization Bounds for the Area Under the ROC Curve (2005) (257)
- Bayes Point Machines (2001) (249)
- The Mechanics of n-Player Differentiable Games (2018) (235)
- Manifestations of user personality in website choice and behaviour on online social networks (2014) (229)
- How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing (2012) (204)
- Gaussian process regression: active data selection and test point rejection (2000) (204)
- Classification on Pairwise Proximity Data (1998) (180)
- SIGMa: simple greedy matching for aligning large knowledge bases (2012) (157)
- Self-organizing maps: Generalizations and new optimization techniques (1998) (149)
- A multi-agent reinforcement learning model of common-pool resource appropriation (2017) (145)
- Human-level performance in first-person multiplayer games with population-based deep reinforcement learning (2018) (134)
- Inequity aversion improves cooperation in intertemporal social dilemmas (2018) (132)
- TrueSkill Through Time: Revisiting the History of Chess (2007) (121)
- Emergent Coordination Through Competition (2019) (113)
- Inferring the demographics of search users: social data meets search queries (2013) (112)
- LEARNING TO FIGHT (2004) (107)
- A PAC-Bayesian margin bound for linear classifiers (2002) (105)
- Classification on proximity data with LP-machines (1999) (104)
- Open-ended Learning in Symmetric Zero-sum Games (2019) (104)
- PHASE TRANSITIONS IN STOCHASTIC SELF-ORGANIZING MAPS (1997) (101)
- A Stochastic Self-Organizing Map for Proximity Data (1999) (96)
- Bayesian pattern ranking for move prediction in the game of Go (2006) (91)
- Open Problems in Cooperative AI (2020) (88)
- Cooperative AI: machines must learn to find common ground (2021) (84)
- Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations (2003) (81)
- Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research (2019) (76)
- Learning Preference Relations for Information Retrieval (1998) (72)
- Crowd IQ: aggregating opinions to boost performance (2012) (71)
- Tabular: a schema-driven probabilistic programming language (2014) (65)
- Kernel Matrix Completion by Semidefinite Programming (2002) (63)
- Re-evaluating evaluation (2018) (63)
- Generalisation Error Bounds for Sparse Linear Classifiers (2000) (61)
- Differentiable Game Mechanics (2019) (60)
- From Margin to Sparsity (2000) (59)
- Bayes Point Machines: Estimating the Bayes Point in Kernel Space (1999) (59)
- Crowd IQ: measuring the intelligence of crowdsourcing platforms (2012) (59)
- Kernel Topic Models (2011) (58)
- Poisson-Networks: A Model for Structured Poisson Processes (2005) (58)
- Relational Forward Models for Multi-Agent Learning (2018) (57)
- PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification (2005) (56)
- Invariant Pattern Recognition by Semi-Definite Programming Machines (2003) (56)
- A Generalized Training Approach for Multiagent Learning (2019) (55)
- Collaborative Expert Portfolio Management (2010) (55)
- Machine learning and games (2006) (54)
- CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise (2011) (52)
- A Generalised Method for Empirical Game Theoretic Analysis (2018) (50)
- Kernel Methods for Document Filtering (2002) (50)
- From Motor Control to Team Play in Simulated Humanoid Football (2021) (50)
- Sociable killers: understanding social relationships in an online first-person shooter game (2011) (50)
- Biases for Emergent Communication in Multi-agent Reinforcement Learning (2019) (47)
- Neural Networks in Economics (1999) (46)
- Learning on Graphs in the Game of Go (2001) (45)
- Novel tools to streamline the conference review process: experiences from SIGKDD'09 (2010) (45)
- Automated feature generation from structured knowledge (2011) (43)
- Combining Conjugate Direction Methods with Stochastic Approximation of Gradients (2003) (43)
- Neural Networks in Economics: Background, Applications and New Developments (1998) (42)
- Personality and Website Choice (2012) (42)
- Regression Models for Ordinal Data: A Machine Learning Approach (1999) (41)
- Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests (2012) (41)
- A model-learner pattern for bayesian reasoning (2013) (34)
- Bayesian Online Learning for Multi-label and Multi-variate Performance Measures (2010) (34)
- Symmetric Decomposition of Asymmetric Games (2017) (34)
- Modelling Uncertainty in the Game of Go (2004) (34)
- Bayesian Knowledge Corroboration with Logical Rules and User Feedback (2010) (32)
- EigenGame: PCA as a Nash Equilibrium (2020) (31)
- Towards stochastic conjugate gradient methods (2002) (31)
- Bayesian Transduction (1999) (31)
- Game Plan: What AI can do for Football, and What Football can do for AI (2020) (30)
- Learning to Play No-Press Diplomacy with Best Response Policy Iteration (2020) (29)
- Score-Based Bayesian Skill Learning (2012) (29)
- The Kernel Gibbs Sampler (2000) (29)
- Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot (2021) (29)
- Malthusian Reinforcement Learning (2018) (27)
- Your digital image: factors behind demographic and psychometric predictions from social network profiles (2014) (26)
- Learning Shared Representations in Multi-task Reinforcement Learning (2016) (24)
- A Neural Architecture for Designing Truthful and Efficient Auctions (2019) (24)
- Matchbox: Large Scale Bayesian Recommendations (2009) (23)
- Structure from failure (2007) (23)
- A Comparison of learning algorithms on the Arcade Learning Environment (2014) (22)
- Ranking and Matchmaking (2006) (22)
- Colonel Blotto on Facebook: the effect of social relations on strategic interaction (2012) (22)
- Bounds and dynamics for empirical game theoretic analysis (2019) (20)
- Comparing Feature-Based Models of Harmony (2012) (20)
- Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model (2011) (20)
- Rip-off: playing the cooperative negotiation game (2011) (19)
- Inequity aversion resolves intertemporal social dilemmas (2018) (19)
- Correspondence Analysis for Visualizing Interplay of Pitch Class, Key, and Composer (2003) (18)
- Large Scale Bayes Point Machines (2000) (17)
- Robust Bayes Point Machines (2000) (17)
- Negotiating team formation using deep reinforcement learning (2020) (16)
- Conjugate Directions for Stochastic Gradient Descent (2002) (16)
- Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming (2003) (15)
- Supervised learning of preference relations (1998) (15)
- Adaptive Mechanism Design: Learning to Promote Cooperation (2018) (15)
- Smooth markets: A basic mechanism for organizing gradient-based learners (2020) (15)
- Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers (2021) (14)
- Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems (2019) (12)
- Automated probabilistic modeling for relational data (2013) (11)
- Scalable clustering and keyword suggestion for online advertisements (2009) (11)
- Inferring the Demographics of Search Users (2013) (11)
- Collaborative learning of preference rankings (2012) (10)
- Learning to solve game trees (2007) (10)
- Sparsity vs. Large Margins for Linear Classifiers (2000) (10)
- A Large Deviation Bound for the Area Under the ROC Curve (2004) (10)
- Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles (2014) (9)
- Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems (2002) (9)
- Proceedings of ESANN (2000) (9)
- The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution (2019) (8)
- Phase Transitions in Soft Topographic Vector Quantization (1997) (8)
- Bayesian Learning in Reproducing Kernel Hilbert Spaces: The Usefulness of the Bayes Point (1999) (8)
- EigenGame Unloaded: When playing games is better than optimizing (2021) (8)
- Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences (2020) (8)
- Compiling Relational Database Schemata into Probabilistic Graphical Models (2012) (8)
- Probabilistic Programs as Spreadsheet Queries (2015) (8)
- Using unlabeled data for supervised learning (1999) (7)
- Knowing what we don't know in NCAA Football ratings: Understanding and using structured uncertainty (2014) (7)
- R-leaping: Accelerating the stochastic simulation algorithm by reaction leaps (2002) (7)
- NeuPL: Neural Population Learning (2022) (7)
- An Annealed Self-Organizing Map for Source Channel Coding (1997) (7)
- The Structure of Version Space (2006) (6)
- Deep reinforcement learning models the emergent dynamics of human cooperation (2021) (6)
- PAC-Bayesian Pattern Classification with kernels (2002) (6)
- Automated Probabilistic Modelling for Relational Data (2013) (5)
- Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy (2022) (4)
- Learning a Theory of Marriage (and Other Relations) from a Web Corpus (2014) (4)
- Behavioral Game Theory on Online Social Networks : Colonel Blotto is on Facebook (2011) (4)
- Gaussian Process Regression: Active Data Selection and Test Point (2000) (4)
- Bayesian Quadratic Reinforcement Learning (2009) (3)
- Special Issue on Machine Learning and Games (2006) (2)
- A Neural Network Auction For Group Decision Making Over a Continuous Space (2021) (2)
- Game Theoretic Rating in N-player general-sum games with Equilibria (2022) (2)
- Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria (2022) (2)
- Coherent Inference on Optimal Play in Game Trees (2010) (2)
- Introduction to the Special Issue on Learning Theory (2003) (2)
- DBrev: Dreaming of a Database Revolution (2011) (2)
- The Wreath Process: A totally generative model of geometric shape based on nested symmetries (2015) (2)
- Collaborative Learning of Preference Relations (2012) (2)
- Large scale data analysis and modelling in online services and advertising (2008) (1)
- Text Categorization via Ellipsoid Separation (2004) (1)
- 1 The Structure of Version Space (2002) (1)
- Semi-Definite Programming by Perceptron Learning (2003) (1)
- Guest Editorial: Machine Learning and Games (2006) (1)
- Learning Truthful, Efficient, and Welfare Maximizing Auction Rules (2019) (1)
- Bayesian Learning in Reproducing KernelHilbert Spaces { The Usefulness of theBayes (1999) (0)
- Symmetric Decomposition of Asymmetric Games (2018) (0)
- A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works! (2021) (0)
- Agent RFM 횷 Teammate Action Prediction Egocentric Observations Action Reward Environment Environment Graph Teammate ActionStop Gradient Augmented Observations (2019) (0)
- PAC-Bayesian pattern classification with kernels: theory, algorithms, and an application to the game of Go (2002) (0)
- Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study (2000) (0)
- Rip-off: Playing the Cooperative Negotiation Game (Extended Abstract) (2011) (0)
- Automatic Curricula in Deep Multi-Agent Reinforc ement Learning (2020) (0)
- Robust Bayes Point (2000) (0)
- Tabular: Probabilistic Inference from the Spreadsheet (2020) (0)
- Manifestations of user personality in website choice and behaviour on online social networks (2013) (0)
- Multiagent Reinforcement Learning in Games with an Iterated Dominance Solution (2019) (0)
- Bounds and dynamics for empirical game theoretic analysis (2019) (0)
- A multi-agent reinforcement learning model of reputation and cooperation in human groups (2021) (0)
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