Gray-Box Gaussian Processes for Automated Reinforcement Learning

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Quick-tune: Quickly learning which pretrained model to finetune and how

SP Arango, F Ferreira, A Kadra, F Hutter… - arxiv preprint arxiv …, 2023 - arxiv.org
With the ever-increasing number of pretrained models, machine learning practitioners are
continuously faced with which pretrained model to use, and how to finetune it for a new …
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GAILPG: Multi-Agent Policy Gradient with Generative Adversarial Imitation Learning

W Li, S Huang, Z Qiu, A Song - IEEE Transactions on Games, 2024 - ieeexplore.ieee.org
In reinforcement learning, the agents need to sufficiently explore the environment and
efficiently exploit the existing experiences before finding the solution to the tasks, particularly …
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