High Memory & Disk Requirement for SMAC

rail-berkeley / rlkit

Collection of reinforcement learning algorithms

MIT License

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High Memory & Disk Requirement for SMAC #164

Open ShayekhBinIslam opened 2 years ago

ShayekhBinIslam commented 2 years ago

By running python -m examples.smac.generate_ant_data, more than 70 GB is already consumed. What is the requirement for running SMAC? And how to reduce the memory footprint?

ShayekhBinIslam commented 2 years ago

Thanks Ashvin and Vichyr. "By reducing the replay buffer size and number of tasks, memory can be saved".