Comments (3)
Shuijing725
commented on June 11, 2024
Can you provide the training curve and the checkpoint you tested with?
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AngLancer
commented on June 11, 2024
Sorry, I didn't save the previous results. I ran again with 2080ti, and the success rate became 90%, consistent with yours. But I still don't know why the success rate of K80 is so low.
Excuse me again, I see that the success rate in /data/example_model/test/test_27776.pt.log is 90%, and the success rate of Fov360 in Figure 5 in the paper is 98%. Under what circumstances has such a high accuracy been achieved? Thank you.
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Shuijing725
commented on June 11, 2024
Your new results look normal. If you change the random seed, change the checkpoint, or finetune the hyperparameters, you may get better results.
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Related Issues (20)
- There is no method named “set_policy()” in angent.py or human.py HOT 1
- Resume training from an existing checkpoint HOT 1
- How do we run the visual simulation of Group environment after setting sim.group_human to True in config.py?? HOT 1
- run on turtlebot2 HOT 2
- Can I know how did you transfer the policy learned in the simulator to a real-world TurtleBot 2i/ 3??? HOT 3
- Training problem HOT 2
- Algorithm Problem HOT 3
- How to run in real world? HOT 3
- Algorithm Problem HOT 1
- fov environment HOT 4
- AssertionError: action space does not inherit from `gym.spaces.Space` HOT 3
- Is it possible to use multiple robot? HOT 9
- Question about obeservation
- Fov 2D visualization recreation help HOT 1
- Implement multiple robot agents HOT 3
- How to train CADRL ,RGL , LSTM_RL in this env? HOT 2
- evaluation.py HOT 2
- 2 agent scenarios HOT 3
- plot trajectory HOT 3
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