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09/22/2022
Accelerating Online Reinforcement Learning via Supervisory Safety Systems
Deep reinforcement learning (DRL) is a promising method to learn control...
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11/04/2021
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
While multi-agent reinforcement learning has been used as an effective m...
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07/20/2021
Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
Communication between agents in collaborative multi-agent settings is in...
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03/18/2021
From Navigation to Racing: Reward Signal Design for Autonomous Racing
The problem of autonomous navigation is to generate a set of navigation ...
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02/22/2021
Autonomous Obstacle Avoidance by Learning Policies for Reference Modification
The key problem for autonomous robots is how to navigate through complex...
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03/28/2020
Unsupervised feature learning for speech using correspondence and Siamese networks
In zero-resource settings where transcribed speech audio is unavailable,...
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12/11/2019
Deep motion estimation for parallel inter-frame prediction in video compression
Standard video codecs rely on optical flow to guide inter-frame predicti...
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12/11/2019
BINet: a binary inpainting network for deep patch-based image compression
Recent deep learning models outperform standard lossy image compression ...
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11/09/2018