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v1.6 release

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@Emerald01 Emerald01 released this 19 Aug 16:17
· 151 commits to master since this release
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Using the extreme parallelization capability of GPUs, WarpDrive enables orders-of-magnitude faster RL compared to CPU simulation + GPU model implementations.

  • It is extremely efficient as it avoids back-and-forth data copying between the CPU and the GPU.
  • runs simulations across multiple agents and multiple environment replicas in parallel.
  • provides the auto scaling tools to achieve the optimal throughput per device (version 1.3).
  • performs the distributed asynchronous training among multiple GPU devices (version 1.4).
  • combine multiple GPU blocks for one environment replica (version 1.6).