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06/23/2023
Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills
Reinforcement Learning has received wide interest due to its success in ...
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03/28/2023
PDExplain: Contextual Modeling of PDEs in the Wild
We propose an explainable method for solving Partial Differential Equati...
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08/04/2022
AG2U – Autonomous Grading Under Uncertainties
Surface grading, the process of leveling an uneven area containing pre-d...
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07/19/2022
DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation
Object manipulation in cluttered scenes is a difficult and important pro...
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07/04/2022
GraphVid: It Only Takes a Few Nodes to Understand a Video
We propose a concise representation of videos that encode perceptually m...
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06/26/2022
Analysis of Stochastic Processes through Replay Buffers
Replay buffers are a key component in many reinforcement learning scheme...
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06/13/2022
Towards Autonomous Grading In The Real World
In this work, we aim to tackle the problem of autonomous grading, where ...
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03/02/2022
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
We address the problem of devising the means for a robot to rapidly and ...
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12/20/2021
AGPNet – Autonomous Grading Policy Network
In this work, we establish heuristics and learning strategies for the au...
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11/10/2021
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
Graph Neural Networks (GNNs) have emerged as highly successful tools for...
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11/02/2021
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives
Many possible fields of application of robots in real world settings hin...
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10/01/2021
Sim and Real: Better Together
Simulation is used extensively in autonomous systems, particularly in ro...
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08/10/2021
BIDCD - Bosch Industrial Depth Completion Dataset
We introduce BIDCD - the Bosch Industrial Depth Completion Dataset. BIDC...
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07/27/2021
Vision-Guided Forecasting – Visual Context for Multi-Horizon Time Series Forecasting
Autonomous driving gained huge traction in recent years, due to its pote...
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04/29/2021
InsertionNet – A Scalable Solution for Insertion
Complicated assembly processes can be described as a sequence of two mai...
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04/04/2021
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
We study combinatorial problems with real world applications such as mac...
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08/18/2020
Depth Completion with RGB Prior
Depth cameras are a prominent perception system for robotics, especially...
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08/22/2019
Practical Risk Measures in Reinforcement Learning
Practical application of Reinforcement Learning (RL) often involves risk...
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07/05/2016
One-Shot Session Recommendation Systems with Combinatorial Items
In recent years, content recommendation systems in large websites (or co...
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02/08/2015
Contextual Markov Decision Processes
We consider a planning problem where the dynamics and rewards of the env...
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01/01/2013
Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes
In this paper we extend temporal difference policy evaluation algorithms...
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06/27/2012
Policy Gradients with Variance Related Risk Criteria
Managing risk in dynamic decision problems is of cardinal importance in ...
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05/02/2010
