2

Transferable Dynamics Models for Efficient Object-Oriented Reinforcement Learning
The Reinforcement Learning (RL) framework offers a general paradigm for constructing autonomous agents that can make effective …
PDF Cite DOI
MiDaS: A Large-Scale Minecraft Dataset for Non-Natural Image Benchmarking
Reinforcement learning (RL) has recently made several significant advances using video games as a testbed. While many of these games …
PDF Cite DOI
Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories
In any game, play style is a concept that describes the technique and strategy employed by a player to achieve a goal. Identifying a …
PDF Cite Project
Hierarchically Composing Level Generators for the Creation of Complex Structures
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to …
PDF Cite Project DOI
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations
We present a framework for the automatic encoding and repair of high-level tasks. Given a set of skills a robot can perform, our …
PDF Cite Project
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation
A limitation for collaborative robots (cobots) is their lack of ability to adapt to human partners, who typically exhibit an immense …
PDF Cite
Who Should I Trust? Cautiously Learning with Unreliable Experts
An important problem in reinforcement learning is the need for greater sample efficiency. One approach to dealing with this problem is …
PDF Cite
Investigating Transfer Learning in Graph Neural Networks
Graph neural networks (GNNs) build on the success of deep learning models by extending them for use in graph spaces. Transfer learning …
PDF Cite
Fairness and accountability of AI in disaster risk management: Opportunities and challenges
Disaster risk management (DRM) seeks to help societies prepare for, mitigate, or recover from the adverse impacts of disasters and …
PDF Cite
Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks
Obesity is an important concern in public health, and Body Mass Index is one of the useful, common and convenient measures. However, …
PDF Cite