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https://github.com/wassname/pytorch-soft-actor-critic.git
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wassname
34 lines
1.5 KiB
Makefile
34 lines
1.5 KiB
Makefile
SHELL=/bin/bash
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python=/home/wassname/anaconda/envs/diygym3/bin/python
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LOGURU_LEVEL=INFO
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run:
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ulimit -S -m 65000000
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ulimit -S -v 65000000
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LOGURU_LEVEL=INFO ${python} \
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-m pdb -c continue \
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main.py \
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--cuda \
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--opt_level O1 \
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--automatic_entropy_tuning true \
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--replay_size 100000 \
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# --demonstrations data/demonstrations \
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# --load auto \
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# ${python} -m pdb main.py --cuda --automatic_entropy_tuning true --replay_size 10000 --load auto --start_steps 200
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# LOGURU_LEVEL=INFO ${python} main.py --demonstrations data/demonstrations --cuda --automatic_entropy_tuning true --replay_size 20000 --load auto
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# LOGURU_LEVEL=INFO ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 2 --load auto --alpha 0.1 --tau 1 --target_update_interval 1000
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# LOGURU_LEVEL=INFO ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 2 --load auto --tau 1 --target_update_interval 1000 --policy Deterministic
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# ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 2 --load
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# LOGURU_LEVEL=INFO ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 4 --load auto --automatic_entropy_tuning
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# hard update
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#models/2021-01-10_12-49-47_SAC_ApplePick-v0_Gaussian_autotune0
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play:
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# ${python} play.py --load-actor models/actor_${date}_SAC_ApplePick-v0_Gaussian_autotune.pkl --load-critic models/critic_${date}_SAC_ApplePick-v0_Gaussian_autotune.pkl --render
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${python} main.py --load auto --render --num_steps 0 --no-train
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