Author

Tristan A. Shah

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#machine learning Preprint Oct 2026

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 from the agent environ...

Tristan A. Shah, Wooyoung Chung, Volodomyr Makarenko et al. · 0 citations

#artificial intelligence Apr 2026

Multi-Agent Empowerment and Emergence of Complex Behavior in Groups

It is observed that this intrinsic motivation gives rise to characteristic modes of group-organization in two qualitatively distinct environments: a pair of agents coupled by a tendon, and a controllable Vicsek flock.

Tristan A. Shah, I. Nemenman, Daniel Polani et al. · arXiv.org · 0 citations