env_param config for debugging and any tips

[Abc11c]

Hi @thomasschmied,

Thank you for releasing the code! I want to quickly benchmark some of the metaworld v2 environments but stuck at mujuco setup I have the following doubts and would be grateful for any advice

1. The data paths, I assume the links on the readme point to these names in the config dm_control_1M_v3_full and metaworld_v2_cwnet_2M in the config, so just renaming the data subfolder should be good?
2. Can you provide a config for pretraining runs, 1 seed, 1 env to debug since loading all the trajectories tend to take time?
3. [Resolved] ~~What version of mujoco to use? I had some issues with installing mujoco-py==2.0.2.13 as seen in the requirements.txt so had to downgrade to 2.0,2.8, and use mujoco version.~~

I get the following error when I try to run the pretrain configs

python main.py -m experiment_name=pretrain seed=42 env_params=multi_domain_mtdmc run_params=pretrain eval_params=pretrain_disc agent_params=cdt_pretrain_d
isc agent_params.kind=MDDT agent_params/model_kwargs=multi_domain_mtdmc agent_params/data_paths=mt40v2_dmc10 +agent_params/replay_buffer_kwargs=multi_domain_mtdmc +agent_params.accumulation_steps=2

  File "/home/a9karthi/.conda/envs/mddt/lib/python3.9/site-packages/dm_control/mujoco/index.py", line 623, in struct_indexer
    attr = getattr(struct, field_name)
AttributeError: 'MjData' object has no attribute 'qacc_unc'

It was caused by mujoco version issue downgrading it to mujoco==2.1.5 fixed it.

Thanks!