Mark Riedl

Toward Game Level Generation from Gameplay Videos

2016 · arXiv (Cornell University)

Algorithms that generate computer game content require game design knowledge. We present an approach to automatically learn game design knowledge for level design from gameplay videos. We further demonstrate how the acquired design knowledge can …

Toward Automated Quest Generation in Text-Adventure Games

2019 · arXiv (Cornell University)

Interactive fictions, or text-adventures, are games in which a player interacts with a world entirely through textual descriptions and text actions. Text-adventure games are typically structured as puzzles or quests wherein the player must execute …

Reducing Non-Normative Text Generation from Language Models

2020 · arXiv (Cornell University)

Large-scale, transformer-based language models such as GPT-2 are pretrained on diverse corpora scraped from the internet. Consequently, they are prone to generating non-normative text (i.e. in violation of social norms). We introduce a technique for …

Explainability Pitfalls: Beyond Dark Patterns in Explainable AI

2021 · arXiv (Cornell University)

To make Explainable AI (XAI) systems trustworthy, understanding harmful effects is just as important as producing well-designed explanations. In this paper, we address an important yet unarticulated type of negative effect in XAI. We introduce …

Rationalization: A Neural Machine Translation Approach to Generating\n Natural Language Explanations

2017 · arXiv (Cornell University)

We introduce AI rationalization, an approach for generating explanations of\nautonomous system behavior as if a human had performed the behavior. We\ndescribe a rationalization technique that uses neural machine translation to\ntranslate internal state-action representations of an …

The Role of Exploration for Task Transfer in Reinforcement Learning

2022 · arXiv (Cornell University)

The exploration--exploitation trade-off in reinforcement learning (RL) is a well-known and much-studied problem that balances greedy action selection with novel experience, and the study of exploration methods is usually only considered in the context of …