How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents

7 October 2021

Papers citing "How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents"

5 / 5 papers shown

Title
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Abdulaziz Almuzairee Rohan Patil Dwait Bhatt Henrik I. Christensen 22 0 0 07 May 2025
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing Elena Shrestha C. Reddy Hanxi Wan Yulun Zhuang Ram Vasudevan 17 1 0 08 May 2023
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories Fábio Vital Miguel Vasco Alberto Sardinha Francisco S. Melo 14 0 0 06 Apr 2022
Geometric Multimodal Contrastive Representation Learning Petra Poklukar Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva Danica Kragic 13 46 0 07 Feb 2022
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 28 71 0 16 Feb 2021