Mutiple values for agent/optimizers.

[chenci107]

Description

I run the code as the doc described

PYTHONPATH=. python3 -u main.py \
setup=metaworld \
env=metaworld-mt10 \
agent=state_sac \
experiment.num_eval_episodes=1 \
experiment.num_train_steps=2000000 \
setup.seed=1 \
replay_buffer.batch_size=1280 \
agent.multitask.num_envs=10 \
agent.multitask.should_use_disentangled_alpha=True \
agent.encoder.type_to_select=identity \
agent.multitask.should_use_multi_head_policy=False \
agent.multitask.actor_cfg.should_condition_model_on_task_info=False \
agent.multitask.actor_cfg.should_condition_encoder_on_task_info=True \
agent.multitask.actor_cfg.should_concatenate_task_info_with_encoder=True

And it shows that

Multiple values for agent/optimizers. To override a value use 'override agent/optimizers: metaworld_encoder'
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

How can I solve this problem? Thanks~

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System information

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