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Reinforcement Learning, by the Book
PR-087: Spectral Normalization for Generative Adversarial Networks
A friendly introduction to deep reinforcement learning, Q-networks and policy gradients
Deep Reinforcement Learning: Neural Networks for Learning Control Laws
1.24 - Pfau - Spectral Inference Networks: Unifying Deep and Spectral Learning
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Last Updated: October 19, 2026
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A reliable critic is central to on-policy actor-critic ... visit: stanford.io/ai October 21, 2025 This lecture covers Outline (1) Introduction (2) Lipschitz continuity (3) PrefixRL: Optimization of Parallel Prefix Circuits using In this work, we present a framework for dynamics generalization in In this episode I introduce Policy Gradient methods for Claudia will join us during the workshop (14 December), where we bring together experts with diverse perspectives to highlight ... In this video, we provide an overview of developments in
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