Human-like Natural Language Generation Using Monte Carlo Tree Search

Procedural Content Generation of Angry Birds Levels Using Monte Carlo Tree Search APPROVED BY SUPERVISING COMMITTEE:

Mabel: Extending Human Interaction and Robot Rescue Design

Mabel (the Mobile Table) is a robotic system that can perform waypoint navigation, speech generation, speech recognition, natural language understanding, face finding, face following, nametag reading, and localization. Mabel can interact intelligently to give information about the conference to patrons. Major additions to this year’s design are Monte Carlo Localization, Filter-Cascade technique...

Mabel: Extending Human Interaction and Robot Rescue Designs

Mabel (the Mobile Table) is a robotic system that can perform waypoint navigation, speech generation, speech recognition, natural language understanding, face finding, face following, nametag reading, and localization. Mabel can interact intelligently to give information about the conference to patrons. Major additions to this year’s design are Monte Carlo Localization, Filter-Cascade technique...

Learning to Behave by Reading

In this talk, I will address the problem of grounding linguistic analysis in control applications, such as game playing and robot navigation. We assume access to natural language documents that describe the desired behavior of a control algorithm (e.g., game strategy guides). Our goal is to demonstrate that knowledge automatically extracted from such documents can dramatically improve performan...

Monte Carlo Action Programming

This paper proposes Monte Carlo Action Programming, a programming language framework for autonomous systems that act in large probabilistic state spaces with high branching factors. It comprises formal syntax and semantics of a nondeterministic action programming language. The language is interpreted stochastically via Monte Carlo Tree Search. Effectiveness of the approach is shown empirically.