activity
20172026
most citedMonte-Carlo Tree Search for Simulation-based Strategy Analysis

29 citations · 76 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Coupled Cluster con MōLe: Molecular Orbital Learning for Neural Wavefunctions

Luca Thiede, Abdulrahman Aldossary, Andreas Burger +9

Density functional theory (DFT) is the most widely used method for calculating molecular properties; however, its accuracy is often insufficient for quantitative predictions. Coupl…

cs.CV2021★ 14 cited

PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision

Salehe Erfanian Ebadi, You-Cyuan Jhang, Alex Zook +6

In recent years, person detection and human pose estimation have made great strides, helped by large-scale labeled datasets. However, these datasets had no guarantees or analysis o…

cs.LG2021★ 5 cited

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning

Andrew Cohen, Ervin Teng, Vincent-Pierre Berges +5

The creation and destruction of agents in cooperative multi-agent reinforcement learning (MARL) is a critically under-explored area of research. Current MARL algorithms often assum…

cs.AI2019★ 29 cited

Monte-Carlo Tree Search for Simulation-based Strategy Analysis

Alexander Zook, Brent Harrison, Mark O. Riedl

Games are often designed to shape player behavior in a desired way; however, it can be unclear how design decisions affect the space of behaviors in a game. Designers usually explo…

cs.AI2019

Automatic Game Design via Mechanic Generation

Alexander Zook, Mark O. Riedl

Game designs often center on the game mechanics---rules governing the logical evolution of the game. We seek to develop an intelligent system that generates computer games. As firs…

cs.AI2019★ 27 cited

Automatic Playtesting for Game Parameter Tuning via Active Learning

Alexander Zook, Eric Fruchter, Mark O. Riedl

Game designers use human playtesting to gather feedback about game design elements when iteratively improving a game. Playtesting, however, is expensive: human testers must be recr…

cs.HC2017★ 1 cited

A Framework for Exploring and Evaluating Mechanics in Human Computation Games

Kristin Siu, Alexander Zook, Mark O. Riedl

Human computation games (HCGs) are a crowdsourcing approach to solving computationally-intractable tasks using games. In this paper, we describe the need for generalizable HCG desi…