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Hi! I'm really interested in your work, but I'm having trouble running this code. I've encountered a few major issues:
Firstly, the "readme" file provided in this codebase corresponds to the article "FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning Via Distance Metric Learning and Behavior Regularization". I followed the instructions in the readme, but I couldn't get the code to run. If there's a correct way to execute the code that's different from the instructions, I'd appreciate it if you could let me know.
Secondly, I've completed the Conda environment configuration, but I'm already having trouble running the code at the "## Data Generation" step. When I run the command "python policy_train.py ./configs/sparse-point-robot.json", the system shows me "KeyError: 'sparse-cheetah-dir'".
I'm hoping to hear back from you soon.
Thank you very much.
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late response. We have recently updated the codes, can you please try the new codes? If you have any further questions, you may email [email protected] for faster response. Thank you!
Hi! I'm really interested in your work, but I'm having trouble running this code. I've encountered a few major issues:
Firstly, the "readme" file provided in this codebase corresponds to the article "FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning Via Distance Metric Learning and Behavior Regularization". I followed the instructions in the readme, but I couldn't get the code to run. If there's a correct way to execute the code that's different from the instructions, I'd appreciate it if you could let me know.
Secondly, I've completed the Conda environment configuration, but I'm already having trouble running the code at the "## Data Generation" step. When I run the command "python policy_train.py ./configs/sparse-point-robot.json", the system shows me "KeyError: 'sparse-cheetah-dir'".
I'm hoping to hear back from you soon.
Thank you very much.
The text was updated successfully, but these errors were encountered: