Overview
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. The conference is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.
Accepted publications
Workshops
ICML 2024 Workshop on Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs
July 27
The past few years have seen a surge of interest in reinforcement learning, with breakthrough successes in various domains, but the technology remains brittle, often relying on heavily engineered solutions. Several recent works have demonstrated that reinforcement learning algorithms are sensitive to design choices, making it challenging to effectively apply them in practice, especially on novel problems, and limiting their potential impact. This workshop aims to bring together different communities working on solving these problems, including those in reinforcement learning, meta-learning, AutoML, and language models, with the goal of fostering collaboration and cross-pollination of ideas to advance the field of automated reinforcement learning.
Website: https://autorlworkshop.github.io/
Amazon co-organizer: Vu Nguyen
Website: https://autorlworkshop.github.io/
Amazon co-organizer: Vu Nguyen
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