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Andrea Agazzi - Convergence & optimality of single-layer neural networks for reinforcement learning

Andrea Agazzi - Convergence & optimality of single-layer neural networks for reinforcement learning

Convergence - 1

Convergence - 1

Convergence: TD with Control

Convergence: TD with Control

T-D learning with nonlinear function approximation: lazy training and mean field regimes

T-D learning with nonlinear function approximation: lazy training and mean field regimes

From overparametrized neural networks to harmonic regression

From overparametrized neural networks to harmonic regression

Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?

Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?

[CS489] Deeper Neural Networks

[CS489] Deeper Neural Networks

State Aggregation and Deep Reinforcement Learning for Knapsack Problem

State Aggregation and Deep Reinforcement Learning for Knapsack Problem

ANDREA AGAZZI

ANDREA AGAZZI

Andrea Montanari | Self-induced regularization from linear regression to neural networks

Andrea Montanari | Self-induced regularization from linear regression to neural networks

Session 6: Reinforcement Learning and Control

Session 6: Reinforcement Learning and Control

Data-driven Sequential Decision Making: Reinforcement Learning and Optimization

Data-driven Sequential Decision Making: Reinforcement Learning and Optimization