I want to code my own DDPG algorithm. In the intial steps, the Batch size is bigger than the number of experiences in experience buffer, how can I still get enough sampled data for my miniBatch ?
I use rl.util.ExperienceBuffer to create my experience buffer and use createSampledExperienceMiniBatch(buffer,BatchSize) function to get datas for minBatch. However, when the data in experience buffer is smaller than the BatchSize, the function return 0x0 cell.I want to code my own DDPG algorithm. In the intial steps, the Batch size is bigger than the number of experiences in experience buffer, how can I still get enough sampled data for my miniBatch ?
I use rl.util.ExperienceBuffer to create my experience buffer and use createSampledExperienceMiniBatch(buffer,BatchSize) function to get datas for minBatch. However, when the data in experience buffer is smaller than the BatchSize, the function return 0x0 cell. I want to code my own DDPG algorithm. In the intial steps, the Batch size is bigger than the number of experiences in experience buffer, how can I still get enough sampled data for my miniBatch ?
I use rl.util.ExperienceBuffer to create my experience buffer and use createSampledExperienceMiniBatch(buffer,BatchSize) function to get datas for minBatch. However, when the data in experience buffer is smaller than the BatchSize, the function return 0x0 cell. experiencebuffer, ddpg MATLAB Answers — New Questions

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