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View Code? Open in Web Editor NEWOfficial implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.
Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.
Hi, I'm trying to implement the code now, but I can't make sure how many tasks the environment of Cheetah-vel use as the paper. I would greatly thanks for your help!
Thank you for your inspirational great work and open sourcing of the code. I have a question regarding the walker random environment. The walker can not walk when the reward is 800, this is the case for all the algorithms that use this environment. When doing a comparative analysis are we supposed only to compare the reward or is the reward scaled for this environment?
Have you observed a walking behavior when using the algorithms that use this environment?
Hi,
Is multi-processing functionality available for the online_training.py script? For me, for the same env, the BOReL code is taking much longer to run than VariBAD.
Thank you!
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