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04/07/2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies
Teaching a deep reinforcement learning (RL) agent to follow instructions...
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03/17/2022
Design of Compressed Sensing Systems via Density-Evolution Framework for Structure Recovery in Graphical Models
It has been shown that the task of learning the structure of Bayesian ne...
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01/24/2022
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT
IoT devices generating enormous data and state-of-the-art machine learni...
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11/08/2021
Visual Question Answering based on Formal Logic
Visual question answering (VQA) has been gaining a lot of traction in th...
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06/21/2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Recently deep reinforcement learning has achieved tremendous success in ...
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03/22/2021
Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy
Approximating optimal policies in reinforcement learning (RL) is often n...
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08/19/2020
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference
Using multiple nodes and parallel computing algorithms has become a prin...
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06/30/2020
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback
Providing Reinforcement Learning (RL) agents with human feedback can dra...
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03/23/2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Relational Reinforcement Learning (RRL) can offers various desirable fea...
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06/08/2019
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
We propose a novel paradigm for solving Inductive Logic Programming (ILP...
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04/02/2019
Learning Algorithms via Neural Logic Networks
We propose a novel learning paradigm for Deep Neural Networks (DNN) by u...
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04/02/2019
Nested Dithered Quantization for Communication Reduction in Distributed Training
In distributed training, the communication cost due to the transmission ...
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01/11/2019
