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09/14/2023
Self-Supervised Prediction of the Intention to Interact with a Service Robot
A service robot can provide a smoother interaction experience if it has ...
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07/06/2023
Learning to Solve Tasks with Exploring Prior Behaviours
Demonstrations are widely used in Deep Reinforcement Learning (DRL) for ...
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11/24/2022
Neural Weight Search for Scalable Task Incremental Learning
Task incremental learning aims to enable a system to maintain its perfor...
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10/13/2022
Policy Gradient With Serial Markov Chain Reasoning
We introduce a new framework that performs decision-making in reinforcem...
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09/30/2022
Automatic Context-Driven Inference of Engagement in HMI: A Survey
An integral part of seamless human-human communication is engagement, th...
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07/03/2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Off-policy reinforcement learning (RL) from pixel observations is notori...
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11/08/2021
GROWL: Group Detection With Link Prediction
Interaction group detection has been previously addressed with bottom-up...
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10/18/2021
Forecasting Nonverbal Social Signals during Dyadic Interactions with Generative Adversarial Neural Networks
We are approaching a future where social robots will progressively becom...
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10/07/2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning
Popular off-policy deep reinforcement learning algorithms compensate for...
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06/05/2021
Learning Routines for Effective Off-Policy Reinforcement Learning
The performance of reinforcement learning depends upon designing an appr...
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04/21/2021
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Incremental learning aims to enable machine learning models to continuou...
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03/08/2021
Domain-Robust Visual Imitation Learning with Mutual Information Constraints
Human beings are able to understand objectives and learn by simply obser...
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05/04/2015
