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07/31/2023
Learning to Model the World with Language
To interact with humans in the world, agents need to understand the dive...
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05/25/2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Learning from human feedback has been shown to improve text-to-image mod...
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03/13/2023
Vision-Language Models as Success Detectors
Detecting successful behaviour is crucial for training intelligent agent...
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02/23/2023
Aligning Text-to-Image Models using Human Feedback
Deep generative models have shown impressive results in text-to-image sy...
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02/13/2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Reinforcement learning algorithms typically struggle in the absence of a...
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02/22/2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
We are interested in training general-purpose reinforcement learning age...
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02/15/2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
In this work we investigate and demonstrate benefits of a Bayesian appro...
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02/03/2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Recent work in visual end-to-end learning for robotics has shown the pro...
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04/15/2021
Auto-Tuned Sim-to-Real Transfer
Policies trained in simulation often fail when transferred to the real w...
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04/13/2021
Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation
In this paper, we propose a novel navigation system for mobile robots in...
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02/24/2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Federated edge learning (FEEL) is a widely adopted framework for trainin...
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08/04/2020
Robust Reinforcement Learning using Adversarial Populations
Reinforcement Learning (RL) is an effective tool for controller design b...
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07/30/2020
Capacity of Remote Classification Over Wireless Channels
Wireless connectivity creates a computing paradigm that merges communica...
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07/14/2020
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
Edge machine learning involves the deployment of learning algorithms at ...
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06/26/2020
AvE: Assistance via Empowerment
One difficulty in using artificial agents for human-assistive applicatio...
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01/16/2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Federated edge learning (FEEL) is a popular framework for model training...
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12/03/2019
An Introduction to Communication Efficient Edge Machine Learning
In the near future, Internet-of-Things (IoT) is expected to connect bill...
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10/09/2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning
Edge machine learning involves the deployment of learning algorithms at ...
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07/13/2019
Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Edge machine learning involves the development of learning algorithms at...
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09/02/2018
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
The recent revival of artificial intelligence (AI) is revolutionizing al...
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07/30/2018
Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning
By implementing machine learning at the network edge, edge learning trai...
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04/10/2018
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version)
Recent breakthroughs in machine learning especially artificial intellige...
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04/10/2018