Files
PPCA-AIPacMan-2024/multiagent/test_cases/q2/0-eval-function-lose-states-2.test
2024-06-24 15:46:49 +08:00

31 lines
462 B
Plaintext

class: "GraphGameTreeTest"
alg: "MinimaxAgent"
depth: "2"
diagram: """
root
/ \
lose1 lose2
0 1
If your algorithm is returning a different
action, make sure you are calling the
evaluation function on losing states.
"""
num_agents: "2"
start_state: "root"
win_states: ""
lose_states: "lose1 lose2"
successors: """
root Left lose1
root Right lose2
"""
evaluation: """
lose1 0.0
lose2 1.0
"""