10 Reinforcement Learning III

• State values during a random walk
• Approximation minimizing least squares error (LSQ)
• Approximative Q-learning

• Calculate state values during a random walk policy
• 0.5 points
• submit your solution to BRUTE lab10quiz by April 26, midnight
• format: text file, photo of your solution on paper, pdf - what is convenient for you
• solution will be discussed on the next lab
• quiz assignment: [Students with their family name starting from A to L (included) have to solve and upload subject A , while students with family name from M to Z have to solve and upload subject B]

• Approximation minimizing least squares error (LSQ)
• Approximative Q-learning
• (see pdf)

Work on the Reinforcement learning assignment.