SHELL=/bin/bash
python=/home/wassname/anaconda/envs/diygym3/bin/python
LOGURU_LEVEL=INFO

run:
	ulimit -S -m 65000000
	ulimit -S -v 65000000
	LOGURU_LEVEL=INFO ${python} \
	-m pdb -c continue \
	main.py \
		 --cuda \
		 --opt_level O1 \
		 --automatic_entropy_tuning true \
		 --replay_size 100000 \
		#  --demonstrations data/demonstrations \
		#  --load auto \
	# ${python} -m pdb main.py  --cuda --automatic_entropy_tuning true --replay_size 10000 --load auto --start_steps 200
	# LOGURU_LEVEL=INFO ${python} main.py  --demonstrations data/demonstrations --cuda --automatic_entropy_tuning true --replay_size 20000 --load auto
	# 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
	# LOGURU_LEVEL=INFO ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 2 --load auto --tau 1 --target_update_interval 1000 --policy Deterministic
	
	# ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 2 --load

	# LOGURU_LEVEL=INFO ${python} main.py --demonstrations data/demonstrations --cuda --updates_per_step 4 --load auto --automatic_entropy_tuning

	# hard update
	
	#models/2021-01-10_12-49-47_SAC_ApplePick-v0_Gaussian_autotune0

play:
	# ${python} play.py --load-actor models/actor_${date}_SAC_ApplePick-v0_Gaussian_autotune.pkl --load-critic models/critic_${date}_SAC_ApplePick-v0_Gaussian_autotune.pkl --render
	${python} main.py --load auto --render --num_steps 0 --no-train