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08/07/2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
QDax is an open-source library with a streamlined and modular API for Qu...
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04/24/2023
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
Learning algorithms, like Quality-Diversity (QD), can be used to acquire...
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04/07/2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Quality-Diversity (QD) algorithms are designed to generate collections o...
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03/10/2023
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
The synergies between Quality-Diversity (QD) and Deep Reinforcement Lear...
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03/10/2023
Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies
With the development of hardware accelerators and their corresponding to...
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11/22/2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Exploration is a key challenge in Reinforcement Learning, especially in ...
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11/04/2022
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
We present a Quality-Diversity benchmark suite for Deep Neuroevolution i...
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10/18/2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
In real-world environments, robots need to be resilient to damages and r...
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10/10/2022
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Data-driven learning based methods have recently been particularly succe...
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10/06/2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Deep Reinforcement Learning (RL) has emerged as a powerful paradigm for ...
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04/07/2022
Learning to Walk Autonomously via Reset-Free Quality-Diversity
Quality-Diversity (QD) algorithms can discover large and complex behavio...
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02/02/2022
Accelerated Quality-Diversity for Robotics through Massive Parallelism
Quality-Diversity (QD) algorithms are a well-known approach to generate ...
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09/16/2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Quality-Diversity (QD) algorithms are powerful exploration algorithms th...
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05/20/2021
Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures
The performance of a cross-sectional currency strategy depends crucially...
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02/17/2021
Deep Learning for Market by Order Data
Market by order (MBO) data - a detailed feed of individual trade instruc...
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12/13/2020
Building Cross-Sectional Systematic Strategies By Learning to Rank
The success of a cross-sectional systematic strategy depends critically ...
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12/09/2020
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
In this paper, we present an approach to tactile pose estimation from th...
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04/28/2020
Time Series Forecasting With Deep Learning: A Survey
Numerous deep learning architectures have been developed to accommodate ...
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12/19/2019
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Multi-horizon forecasting problems often contain a complex mix of inputs...
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05/23/2019
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs
Despite recent innovations in network architectures and loss functions, ...
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04/09/2019
Enhancing Time Series Momentum Strategies Using Deep Neural Networks
While time series momentum is a well-studied phenomenon in finance, comm...
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01/23/2019
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction
Despite the recent popularity of deep generative state space models, few...
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07/06/2018
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning
Joint models for longitudinal and time-to-event data are commonly used i...
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03/27/2018
