update

src/interface.jl

@@ -181,18 +181,20 @@ tion and backpropagation. This value effectively quantifies the agent’s progre
 serving as a heuristic to steer the search algorithm towards the most promising regions of the tree.
 
 # Arguments
+  - `a::T1`
+    one of Yiem's agent
+  - `state::T2`
+    a game state  
 
 # Return
+  - `evaluation::Tuple{String, Integer}`
+    evaluation and score
 
 # Example
 ```jldoctest
 julia> 
 ```
 
-# TODO
-  - [] update docstring
-  - [x] implement the function
-
 # Signature
 """
 function progressValueEstimator(a::T1, state::T2)::Tuple{String, Integer} where {T1<:agent, T2<:AbstractDict}