AttributeError: utd_ratio

[Caiyishuai]

when I run bash run_learner.sh from "Quick Start with SERL in Sim"

sent initial network to actor
learner: 0%| | 0/1000000 [00:00<?, ?it/s]
Traceback (most recent call last): | 0/1000000 [00:00<?, ?it/s]
File "/home/admin01/workspace/serl/examples/async_sac_state_sim/async_sac_state_sim.py", line 322, in
app.run(main)
File "/home/admin01/anaconda3/envs/serl/lib/python3.10/site-packages/absl/app.py", line 312, in run
_run_main(main, args)
File "/home/admin01/anaconda3/envs/serl/lib/python3.10/site-packages/absl/app.py", line 258, in _run_main
sys.exit(main(argv))
File "/home/admin01/workspace/serl/examples/async_sac_state_sim/async_sac_state_sim.py", line 302, in main
learner(
File "/home/admin01/workspace/serl/examples/async_sac_state_sim/async_sac_state_sim.py", line 231, in learner
agent, update_info = agent.update_high_utd(batch, utd_ratio=FLAGS.utd_ratio)
File "/home/admin01/anaconda3/envs/serl/lib/python3.10/site-packages/absl/flags/_flagvalues.py", line 471, in getattr
raise AttributeError(name)
AttributeError: utd_ratio

Don't know how to solve it, please help me !

[Lingzhi3]

same issue

[jianzhang96]

same issue

[Serenos]

just set FLAGS.utd_ratio=1 will solve the problem.

[77philosophia]

just set FLAGS.utd_ratio=1 will solve the problem.

it works, thanks!

[zyf617]

just set FLAGS.utd_ratio=1 will solve the problem.

it seems to be:
flags.DEFINE_integer('utd_ratio', 1,'UTD ratio (update steps per environment step) for high-frequency training')