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# The paper's settings for Table 3 (D3IL avoiding-v0).
SEED=0
TRAIN_STEPS=500000 # what the paper reports; DiRecT/train.py defaults to 1,000,001
TRAIN_BATCH=32
REPEAT=100 # evaluation episodes per method
CP=10 # checkpoint index: model_ema_<CP>.pth
STEPS=32 # sampling steps (the long-schedule methods override to 256)
STEPS_LONG=256
REPLAN=4 # replan every REPLAN executed steps
MARGIN=0.025 # obstacle margin
HARD=1 # 12 constraints: the three keep-outs upstream ships commented out