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added rendering of start and target pos. changed file save location to match current run in study out
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@@ -18,7 +18,6 @@ def single_agent_training(config_name):
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# Have consecutive episode for eval in single agent case
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train_cfg["algorithm"]["pile_all_done"] = "all"
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agent.eval_loop(10)
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print(agent.action_probabilities)
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def single_agent_eval(config_name, run):
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