Can you explain how do you deal with illegal actions?

[euwern]

In your paper, you mentioned that the action scorer module spits out two outputs (one action ("go", "eat"), and one object("east", "apple"). I wonder how does your architecture deals with illegal action such as the following:
given a state s, the possible actions are:
a1: eat apple
a2: go east
However the action scorer will score all possible word in the action ("go", "eat") and objects ("east", "apple"). which results in 4 possible actions
a1: eat apple (legal action) --> score: 0.9
a2: go east (legal action) --> score: 0.08
a3: eat east (illegal action) --> score: 0.01
a4: go apple (illegal action) --> score: 0.01

In such scenario how does your architecture deals with illegal actions? do you just look up the table for only legal actions?