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10/12/2022
DinoDroid: Testing Android Apps Using Deep Q-Networks
The large demand of mobile devices creates significant concerns about th...
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01/04/2022
StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams
In this paper, we build two automatic evaluation metrics for evaluating ...
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01/03/2022
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand
Many past attempts at modeling repeated Cournot games assume that demand...
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01/01/2022
Modelling Cournot Games as Multi-agent Multi-armed Bandits
We investigate the use of a multi-agent multi-armed bandit (MA-MAB) sett...
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10/20/2021
A Self-Explainable Stylish Image Captioning Framework via Multi-References
In this paper, we propose to build a stylish image captioning model thro...
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04/04/2021
Influencing Reinforcement Learning through Natural Language Guidance
Interactive reinforcement learning agents use human feedback or instruct...
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03/20/2021
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model
In this paper, we build a multi-style generative model for stylish image...
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05/03/2020
Reinforcement Learning for Decentralized Stable Matching
When it comes to finding a match/partner in the real world, it is usuall...
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04/23/2020
Visual Question Answering Using Semantic Information from Image Descriptions
Visual question answering (VQA) is a task that requires AI systems to di...
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12/07/2019
Learning Norms from Stories: A Prior for Value Aligned Agents
Value alignment is a property of an intelligent agent indicating that it...
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09/26/2019
A Hierarchical Approach for Visual Storytelling Using Image Description
One of the primary challenges of visual storytelling is developing techn...
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08/04/2019
Monte-Carlo Tree Search for Simulation-based Strategy Analysis
Games are often designed to shape player behavior in a desired way; howe...
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01/11/2019
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions
Automated rationale generation is an approach for real-time explanation ...
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09/27/2018
Controllable Neural Story Generation via Reinforcement Learning
Open story generation is the problem of automatically creating a story f...
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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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07/26/2017
Guiding Reinforcement Learning Exploration Using Natural Language
In this work we present a technique to use natural language to help rein...
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06/05/2017
Event Representations for Automated Story Generation with Deep Neural Nets
Automated story generation is the problem of automatically selecting a s...
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03/30/2017
Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems
Robots and autonomous systems that operate around humans will likely alw...
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02/25/2017
