21 lines
1.4 KiB
Bash
Executable File
21 lines
1.4 KiB
Bash
Executable File
# can add --skip_running if you've already run the saved policies through the test environments and have appropriate
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# metrics in the out folder. Doing so will generate average metrics quickly.
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# Experiment A
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python -m eval_experiments
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python -m eval_experiments --method expert_agent --save_videos
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python -m eval_experiments --method idm --save_videos
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python -m eval_experiments --method bc --folder='test_policies/bc/expA' --save_videos
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python -m eval_experiments --method gail --folder='test_policies/gail/expA' --save_videos
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python -m eval_experiments --method hail --folder='test_policies/hail/expA' --save_videos
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python -m eval_experiments --method shail --folder='test_policies/shail/expA' --save_videos
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# Experiment B
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python -m eval_experiments --locations='[(0,4)]'
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python -m eval_experiments --method expert_agent --locations='[(0,4)]' --save_videos
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python -m eval_experiments --method idm --locations='[(0,4)]' --save_videos
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python -m eval_experiments --method bc --folder='test_policies/bc/expB' --locations='[(0,4)]' --save_videos
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python -m eval_experiments --method gail --folder='test_policies/gail/expB' --locations='[(0,4)]' --save_videos
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python -m eval_experiments --method hail --folder='test_policies/hail/expB' --locations='[(0,4)]' --save_videos
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python -m eval_experiments --method shail --folder='test_policies/shail/expB' --locations='[(0,4)]' --save_videos
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