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Commit 6155bff8 authored by Egli Adrian (IT-SCI-API-PFI)'s avatar Egli Adrian (IT-SCI-API-PFI)
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reinforcement_learning/multi_agent_training.py
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......@@ -181,7 +181,7 @@ def train_agent(train_params, train_env_params, eval_env_params, obs_params):
elif train_params.policy == "PPO":
policy = PPOPolicy(state_size, get_action_size(), use_replay_buffer=False, in_parameters=train_params)
elif train_params.policy == "DeadLockAvoidance":
policy = DeadLockAvoidanceAgent(train_env, get_action_size())
policy = DeadLockAvoidanceAgent(train_env, get_action_size(), enable_eps=False)
elif train_params.policy == "DeadLockAvoidanceWithDecision":
# inter_policy = PPOPolicy(state_size, get_action_size(), use_replay_buffer=False, in_parameters=train_params)
inter_policy = DDDQNPolicy(state_size, get_action_size(), train_params)
......
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