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10/12/2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
We introduce hybrid execution in multi-agent reinforcement learning (MAR...
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04/06/2022
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
We present Perceive-Represent-Generate (PRG), a novel three-stage framew...
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02/07/2022
GMC – Geometric Multimodal Contrastive Representation Learning
Learning representations of multimodal data that are both informative an...
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10/07/2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
This work addresses the problem of sensing the world: how to learn a mul...
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06/04/2020
MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning
Humans are able to create rich representations of their external reality...
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11/28/2019
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
In this work we explore the use of latent representations obtained from ...
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03/06/2019