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08/04/2023
A Controllable Co-Creative Agent for Game System Design
Many advancements have been made in procedural content generation for ga...
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06/03/2023
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method
Adversarial example detection is known to be an effective adversarial de...
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01/16/2023
Neuro-Symbolic World Models for Adapting to Open World Novelty
Open-world novelty–a sudden change in the mechanics or properties of an ...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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08/04/2022
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings
Recent neural generation systems have demonstrated the potential for pro...
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05/06/2022
Investigating and Explaining the Frequency Bias in Image Classification
CNNs exhibit many behaviors different from humans, one of which is the c...
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03/23/2022
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
A robust body of reinforcement learning techniques have been developed t...
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07/26/2021
Benign Adversarial Attack: Tricking Algorithm for Goodness
In spite of the successful application in many fields, machine learning ...
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03/23/2021
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes
We describe a Plug-and-Play controllable language generation framework, ...
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06/28/2018
GenerationMania: Learning to Semantically Choreograph
Beatmania is a rhythm action game where players play the role of a DJ th...
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09/12/2017
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds
We describe a method to use discrete human feedback to enhance the perfo...
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07/03/2016