Recall2Imagine
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The dmc vision (task=dmc_walker_walk) has very bad performance
Hello, I ran R2I with command:
current_date=$(date "+%Y%m%d-%H%M%S")
python recall2imagine/train.py \
--configs dmc_vision \
--ssm_type mimo \
--wdb_name dmc_original_${current_date} \
--logdir ./logs/dmc_original_${current_date}
and got very low scores. According to DreamerV3 paper, it can achieve score > 900.
However, R2I can only achieve score < 200.
I think the hyperparameters are the same, in R2I's config.yaml
, I saw
run.train_ratio: 512
run.steps: 1e6
rssm.deter: 512
.*\.cnn_depth: 32
.*\.layers: 2
.*\.units: 512
, this aligns with DreamerV3:
Can you explain why this happens? Maybe it's because the ssm backbone is not so good as gru in this task? Or there's sth wrong with my hyperparameters?