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Code for "Multi-task Reinforcement Learning with Soft Modularization"

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Hi, I'm interested in your work and appreciate the sharing of source code. I have some questions. First, I run MT10-Conditioned task, I find that the time consumption is average...

@RchalYang Thank you so much for sharing your code ! I was running some experiment based on Soft-Module, and found that the pf used for evaluation in the collector sometimes...

Hi @RchalYang ! Thank you for providing the code! I found that running the code consumes a lot of CPU resources. Running 2 MT10 experiments at the same time consumes...

Hello, I want to know the requirements of your program on computer CPU computing resources and memory storage resources. Thank you!

Hi, I was trying to run your code. Upon issuing ```python python starter/mt_para_mtsac_modular_gated_cas.py --config meta_config/mt10/modular_2_2_2_256_reweight_rand.json --id MT10_Conditioned_Modular_Shallow --seed 1 --worker_nums 10 --eval_worker_nums 10 ``` I am getting `Bus error (core...

Hello, when I tried to run the MT10 setup as instructed in the first line on GitHub, I noticed that each epoch takes an average of 200 seconds. At this...

May I ask how you trained MT50? My 3080 training shows insufficient graphics memory

How can we evaluate the algorithm to obtain the results shown in Table 1 of the paper?