# TorchRL DQN with Flame

**URL:** <https://discuss.pytorch.org/t/torchrl-dqn-with-flame/224941>\
**Category:** projects\
**Created:** [May 14, 2026, 7:03pm UTC](https://discuss.pytorch.org/t/torchrl-dqn-with-flame/224941 "2026-05-14T19:03:37Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![k82cn](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/k82cn/32/79644_2.png) [@k82cn](https://discuss.pytorch.org/u/k82cn)\
**Post date:** [May 14, 2026, 7:03pm UTC](https://discuss.pytorch.org/t/torchrl-dqn-with-flame/224941/1 "2026-05-14T19:03:37Z")

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Hi team,

I wrote an example of TrochRL DQN with [Flame](https://github.com/xflops/flame) which is an distributed engine for AI application. And that’ll be great if any suggestions on more complex examples/applications for the distribution, feel free to leave comments or messages 🙂

> **[TorchRL DQN with Flame Runner and Sharded Replay](https://xflops.io/blog/torchrl-dqn-with-flame-runner/)**
>
> A technical blog on the TorchRL DQN example in Flame, covering distributed collectors, Flame-backed TorchRL replay storage, sharded sampling, and an Apple M4 Podman test run.

-- Klaus