Implement GAE (the backward recursion) given per-token rewards and value estimates

Medium

RLHF & Preference Optimization2 / 7

Chapter 122 / 7

RLHF & Preference Optimization

Implement GAE (the backward recursion) given per-token rewards and value estimates

Medium

Target interface

compute_gae(rewards, values, gamma=0.99, lam=0.95, last_value=0.0)

Implement the function/class skeleton in the editor. Any correct approach is accepted.

Hints0 / 2

Reference solution

Your own code stays in the editor.

solution.pyPython

Local draft

import numpy as np

def compute_gae(rewards, values, gamma=0.99, lam=0.95, last_value=0.0):
    raise NotImplementedError

⌘/Ctrl↵to submit

AI review

No review yet

Submit your solution for a verdict, a score out of 100 and concrete feedback. Any correct approach passes.

Chapter 122 / 7

RLHF & Preference Optimization

Implement GAE (the backward recursion) given per-token rewards and value estimates

Medium

Target interface

compute_gae(rewards, values, gamma=0.99, lam=0.95, last_value=0.0)

Implement the function/class skeleton in the editor. Any correct approach is accepted.

Hints0 / 2

Reference solution

Your own code stays in the editor.