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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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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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07/03/2021
Mava: a research framework for distributed multi-agent reinforcement learning
Breakthrough advances in reinforcement learning (RL) research have led t...
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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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10/15/2020
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Multi-agent reinforcement learning has recently shown great promise as a...
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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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07/04/2018
