Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals | ScienceToStartup | ScienceToStartup

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References (65)

[1]

The impact of intrinsic rewards on exploration in Reinforcement Learning

2025Aya Kayal, Eduardo Pignatelli et al.

[2]

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

2023Alexander Nikulin, Vladislav Kurenkov et al.

[3]

Human-Timescale Adaptation in an Open-Ended Task Space

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"Developing adaptive RL policies through unsupervised goal-setting for diverse environments."

Reinforcement Learning•Score: 4•View PDF ↗

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Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals

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Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals

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