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06/13/2021
Characterizing the Gap Between Actor-Critic and Policy Gradient
Actor-critic (AC) methods are ubiquitous in reinforcement learning. Alth...
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12/10/2020
Reduced Graphene Oxide Tattoo as Wearable Proximity Sensor
The human body is punctuated with wide array of sensory systems that pro...
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12/03/2020
3D-NVS: A 3D Supervision Approach for Next View Selection
We present a classification based approach for the next best view select...
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10/27/2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
While reinforcement learning algorithms can learn effective policies for...
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10/25/2020
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification
Real-world scenarios pose several challenges to deep learning based comp...
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07/20/2020
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation
Implementation of variational Quantum Machine Learning (QML) algorithms ...
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05/01/2020
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Spiking Neural Networks (SNN) are energy-efficient computing architectur...
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01/19/2020
Gradient Surgery for Multi-Task Learning
While deep learning and deep reinforcement learning (RL) systems have de...
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08/28/2019
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification
We deal with the problem of information fusion driven satellite image/sc...
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06/06/2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Many reinforcement learning (RL) tasks provide the agent with high-dimen...
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02/21/2019
Statistics and Samples in Distributional Reinforcement Learning
We present a unifying framework for designing and analysing distribution...
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12/14/2018
Dopamine: A Research Framework for Deep Reinforcement Learning
Deep reinforcement learning (deep RL) research has grown significantly i...
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12/22/2017
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
We present a framework combining hierarchical and multi-agent deep reinf...
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11/30/2017
Learning to Compose Skills
We present a differentiable framework capable of learning a wide variety...
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05/24/2017
