Alvaro Herrasti

Publications9
h-index6
Citations443
Highly Influential Citations82
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AI2-THOR: An Interactive 3D Environment for Visual AI
TLDR
AI2-THOR consists of near photo-realistic 3D indoor scenes, where AI agents can navigate in the scenes and interact with objects to perform tasks and facilitate building visually intelligent models. Expand
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
TLDR
RoboTHOR offers a framework of simulated environments paired with physical counterparts to systematically explore and overcome the challenges of simulation-to-real transfer, and a platform where researchers across the globe can remotely test their embodied models in the physical world. Expand
Learning Generalizable Visual Representations via Interactive Gameplay
TLDR
This work is the first to show that embodied adversarial reinforcement learning agents playing cache, a variant of hide-and-seek, in a high fidelity, interactive, environment, learn representations of their observations encoding information such as occlusion, object permanence, free space, and containment. Expand
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers
We present an approach for answering questions that span multiple sentences and exhibit sophisticated cross-sentence anaphoric phenomena, evaluating on a rich source of such questions – the math… Expand
Learning Generalizable Visual Representations via Interactive Gameplay
ManipulaTHOR: A Framework for Visual Object Manipulation
TLDR
This work proposes a framework for object manipulation built upon the physics-enabled, visually rich AI2-THOR framework and presents a new challenge to the Embodied AI community known as ArmPointNav, which extends the popular point navigation task to object manipulation and offers new challenges including 3D obstacle avoidance. Expand
Interactive Visualization for Linguistic Structure
TLDR
The library is not tied to any particular linguistic representation, but provides a general-purpose API for the interactive exploration of hierarchical linguistic structure, and offers several important features, including expand/collapse functionality, positional and color cues, and explicit visual support for sequential structure. Expand
A Case Study in Hybrid Multi-threading and Hierarchical Reinforcement Learning Approach for Cooperative Multi-agent Systems
TLDR
Experimental results show that this multi-agent system can reduce the time process and still maintain independence of agents. Expand
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a shared understanding of the world, complex semantics (e.g., metaphors or analogies), and at times multimodal gestures (e.g.,… Expand