arXiv CS
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Bellman Meets Lyapunov: Unsupervised Reinforcement Learning via Mastering Chaos
Reinforcement learning (RL) is a powerful paradigm for training agents, yet its success rests on domain expertise of human engineers who design informative reward signals for every new task. Unsupervised RL aims to reduce this engineering with intrinsic motivation (IM): reward signals that emerge fr
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