Louise599

Some warnings during operation

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Hello! First of all, thank you for sharing such a great project! It gave me a lot of inspiration! It's really very much appreciated! But I'm having problems running it...

Environment window resizing

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Hi, after I ran python experiments.py evaluate configs/IntersectionEnv/env.json \ configs/IntersectionEnv/agents/DQNAgent/baseline.json \ After --train --episodes=4000 --name-from-config, I found that the window of IntersectionEnv is very small, may I know where to...

Some problems in the evaluation.py

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In function def after_all_episodes(self, episode, rewards, duration), I tried to change the output of logger by changing “logger.info("Episode {} score: {:.1f}".format(episode, sum(rewards)))” to logger.info("Episode:{} score:{:.1f} length:{:.1f}".format(episode, sum(rewards), len(rewards))). However, after...

The problem of reward performance

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Hello, thank you very much for open sourcing such a great project. I am running the code: python experiments.py evaluate configs/IntersectionEnv/env.json using the command \ configs/IntersectionEnv/agents/DQNAgent/baseline.json \ --train --episodes=4000 --name-from-config,...