RussTedrake/manipulation

Very tiny typo in stochastic optimization exercise

tzhao42 opened this issue · 0 comments

In problem 9.1.d of stochastic_optimization.ipynb:

def approximated_gradient_with_baseline(x, rate, baseline):
  """
  Update rule. Receive theta and update it with the next theta.
  @params
  - x: input variable x.
  - rate: rate of descent, variable "eta". 
  - baseline: float for baseline.
  @returns:
  - updated varaible x. 
  """
  return x

varaible -> variable
Looking forward to the semester!