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Bryan Lim

AIRL, Imperial College London

Large Language Models as In-context AI Generators for Quality-Diversity

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Apr 24, 2024
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Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms

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Dec 12, 2023
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Mix-ME: Quality-Diversity for Multi-Agent Learning

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Nov 03, 2023
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QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

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Aug 07, 2023
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Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning

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Apr 24, 2023
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Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains

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Apr 07, 2023
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Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies

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Mar 10, 2023
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Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning

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Mar 10, 2023
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Efficient Exploration using Model-Based Quality-Diversity with Gradients

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Nov 22, 2022
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Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

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Nov 04, 2022
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