Santiago Ontañón

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Google ∙ Drexel University

The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems

Personalized adaptation technology has been adopted in a wide range of d...
03/02/2021 ∙ by Santiago Ontañón, et al. ∙ 0 ∙ share

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Player-Centered AI for Automatic Game Personalization: Open Problems

Computer games represent an ideal research domain for the next generatio...
02/15/2021 ∙ by Jichen Zhu, et al. ∙ 0 ∙ share

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Player Modeling via Multi-Armed Bandits

This paper focuses on building personalized player models solely from pl...
02/10/2021 ∙ by Robert C. Gray, et al. ∙ 0 ∙ share

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Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits

This paper explores multi-armed bandit (MAB) strategies in very short ho...
02/10/2021 ∙ by Robert C. Gray, et al. ∙ 0 ∙ share

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Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity

Social comparison-based features are widely used in social computing app...
01/25/2021 ∙ by Jichen Zhu, et al. ∙ 0 ∙ share

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Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games

Training agents using Reinforcement Learning in games with sparse reward...
10/05/2020 ∙ by Shengyi Huang, et al. ∙ 0 ∙ share

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Big Bird: Transformers for Longer Sequences

Transformers-based models, such as BERT, have been one of the most succe...
07/28/2020 ∙ by Manzil Zaheer, et al. ∙ 72 ∙ share

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A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

In recent years, Deep Reinforcement Learning (DRL) algorithms have achie...
06/25/2020 ∙ by Shengyi Huang, et al. ∙ 8 ∙ share

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Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach

Concurrent and parallel programming (CPP) is an increasingly important s...
05/10/2020 ∙ by Jichen Zhu, et al. ∙ 0 ∙ share

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ETC: Encoding Long and Structured Data in Transformers

Transformer-based models have pushed the state of the art in many natura...
04/17/2020 ∙ by Joshua Ainslie, et al. ∙ 46 ∙ share

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An Overview of Distance and Similarity Functions for Structured Data

The notions of distance and similarity play a key role in many machine l...
02/18/2020 ∙ by Santiago Ontañón, et al. ∙ 0 ∙ share

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Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS

This paper presents a preliminary study comparing different observation ...
10/26/2019 ∙ by Shengyi Huang, et al. ∙ 0 ∙ share

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Tracing Player Knowledge in a Parallel Programming Educational Game

This paper focuses on "tracing player knowledge" in educational games. S...
08/15/2019 ∙ by Pavan Kantharaju, et al. ∙ 0 ∙ share

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Experience Management in Multi-player Games

Experience Management studies AI systems that automatically adapt intera...
07/04/2019 ∙ by Jichen Zhu, et al. ∙ 0 ∙ share

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Combinatorial Multi-armed Bandits for Real-Time Strategy Games

Games with large branching factors pose a significant challenge for game...
10/13/2017 ∙ by Santiago Ontañón, et al. ∙ 0 ∙ share

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The VGLC: The Video Game Level Corpus

Levels are a key component of many different video games, and a large bo...
06/23/2016 ∙ by Adam James Summerville, et al. ∙ 0 ∙ share

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A semantic network-based evolutionary algorithm for computational creativity

We introduce a novel evolutionary algorithm (EA) with a semantic network...
04/30/2014 ∙ by Atilim Gunes Baydin, et al. ∙ 0 ∙ share

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Experiments with Game Tree Search in Real-Time Strategy Games

Game tree search algorithms such as minimax have been used with enormous...
08/09/2012 ∙ by Santiago Ontañón, et al. ∙ 0 ∙ share

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Automated Generation of Cross-Domain Analogies via Evolutionary Computation

Analogy plays an important role in creativity, and is extensively used i...
04/11/2012 ∙ by Atilim Gunes Baydin, et al. ∙ 0 ∙ share

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Santiago Ontañón

Featured Co-authors

Manzil Zaheer

Atilim Gunes Baydin

Amr Ahmed

Chris Alberti

Jichen Zhu

Ramon Lopez de Mantaras

Li Yang

Avinava Dubey

Guru Guruganesh

Michael Mateas

Philip Pham

The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems

Player-Centered AI for Automatic Game Personalization: Open Problems

Player Modeling via Multi-Armed Bandits

Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits

Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity

Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games

Big Bird: Transformers for Longer Sequences

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach

ETC: Encoding Long and Structured Data in Transformers

An Overview of Distance and Similarity Functions for Structured Data

Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS

Tracing Player Knowledge in a Parallel Programming Educational Game

Experience Management in Multi-player Games

Combinatorial Multi-armed Bandits for Real-Time Strategy Games

The VGLC: The Video Game Level Corpus

A semantic network-based evolutionary algorithm for computational creativity

Experiments with Game Tree Search in Real-Time Strategy Games

Automated Generation of Cross-Domain Analogies via Evolutionary Computation