def policy_fn(state):
"""Generates a policy profile by treating sequence indices as weights."""
info_state = state.information_state_string()
sequence_offset = root.info_state_to_sequence_idx[info_state]
num_actions = len(state.legal_actions())
return rcfr.normalized_by_sum(
list(range(sequence_offset, sequence_offset + num_actions)))
def test_normalized_by_sum(self):
self.assertListAlmostEqual(
rcfr.normalized_by_sum([1., 2., 3., 4.]), [0.1, 0.2, 0.3, 0.4])