The top documents tagged [q functions]

1 RL for Large State Spaces: Value Function Approximation Alan Fern * Based in part on slides by Daniel Weld.

Reinforcement Learning Slides for this part are adapted from those of Dan Klein@UCB.

Reinforcement Learning: Learning algorithms Yishay Mansour Tel-Aviv University.

Q-operators and discrete Hirota dynamics for spin chains and sigma models Vladimir Kazakov (ENS,Paris) Workshop, “`From sigma models to 4D CFT ” DESY,

RL for Large State Spaces: Value Function Approximation

Q-operators and discrete Hirota dynamics for spin chains and sigma models

RL for Large State Spaces: Value Function Approximation

RL for Large State Spaces: Value Function Approximation

1 Reinforcement Learning: Learning algorithms Function Approximation Yishay Mansour Tel-Aviv University.

Reinforcement Learning: Learning algorithms Function Approximation

Reinforcement Learning