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Function parse_args

4-atari-hard/env.py:141–166  ·  view source on GitHub ↗
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139
140
141def parse_args():
142 p = argparse.ArgumentParser()
143 p.add_argument("--env", choices=list(ENV_IDS), default="montezuma",
144 help="which hard-exploration Atari game to train on")
145 p.add_argument("--render", action="store_true",
146 help="open a window during training (single-env --test only)")
147 p.add_argument("--test", action="store_true",
148 help="load the saved checkpoint and just play (no learning)")
149 p.add_argument("--device", choices=["auto", "cpu", "cuda", "mps"], default="auto",
150 help="override the auto-selected torch device")
151 p.add_argument("--wandb", action="store_true",
152 help="log metrics to Weights & Biases")
153 # --- reproducibility / run-management flags (all optional; omit them and the script runs as before) ---
154 p.add_argument("--seed", type=int, default=None,
155 help="reproducibility seed (np/torch/envpool)")
156 p.add_argument("--total-frames", type=int, default=None,
157 help="override the in-file TOTAL_FRAMES budget (agent steps)")
158 p.add_argument("--n-envs", type=int, default=None,
159 help="override the in-file N_ENVS (e.g. smaller for a smoke run)")
160 p.add_argument("--run-dir", type=str, default=None,
161 help="run directory: write metrics.jsonl / ckpt / final.json here")
162 p.add_argument("--ckpt-every", type=int, default=None,
163 help="periodic checkpoint interval in agent steps (resume-safe)")
164 p.add_argument("--resume", type=str, default=None,
165 help="'auto' (run-dir/ckpt/latest.pt) or a checkpoint path")
166 return p.parse_args()
167
168
169def make_env(args):

Callers 1

1-ppo-rnd.pyFile · 0.90

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