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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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07/20/2023
PASTA: Pretrained Action-State Transformer Agents
Self-supervised learning has brought about a revolutionary paradigm shif...
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06/08/2023
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces
Quality Diversity (QD) algorithms have been proposed to search for a lar...
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03/27/2023
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
In the context of neuroevolution, Quality-Diversity algorithms have prov...
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03/09/2023
Evolving Populations of Diverse RL Agents with MAP-Elites
Quality Diversity (QD) has emerged as a powerful alternative optimizatio...
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02/24/2023
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Quality-Diversity (QD) algorithms have recently gained traction as optim...
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11/24/2022
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
A fascinating aspect of nature lies in its ability to produce a collecti...
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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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06/17/2022
Fast Population-Based Reinforcement Learning on a Single Machine
Training populations of agents has demonstrated great promise in Reinfor...
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02/07/2022
Multi-Objective Quality Diversity Optimization
In this work, we consider the problem of Quality-Diversity (QD) optimiza...
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12/03/2020
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
The SARS-CoV-2 pandemic has created a global race for a cure. One approa...
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11/29/2020
Offline Reinforcement Learning Hands-On
Offline Reinforcement Learning (RL) aims to turn large datasets into pow...
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07/27/2020
Learning Compositional Neural Programs for Continuous Control
We propose a novel solution to challenging sparse-reward, continuous con...
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06/15/2020
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning
We propose a novel reinforcement learning algorithm,QD-RL, that incorpor...
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05/30/2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
We propose a novel reinforcement learning algorithm, AlphaNPI, that inco...
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10/18/2018
