Add support for DPPO [WIP]#5065
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Feb 27, 2026
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| # DPPO Trainer | |||
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| TRL supports the Decoupled Proximal Policy Optimization (DPPO) algorithm, which is a variant of PPO that decouples the optimization of the policy and value function for improved training stability. This implementation is based on the [Stable-RL](https://github.com/sail-sg/Stable-RL) paper. | |||
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It is "Divergence Proximal Policy Optimization".
TRL supports the Divergence Proximal Policy Optimization (DPPO) algorithm, which is a variant of PPO that substitutes heuristic clipping with a more principled constraint based on a direct estimate of policy divergence (e.g., Total Variation or KL) for improved training efficiency and stability.
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TRL has a separate PR for this. I will be closing in favor of that.
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Thanks for the contribution, @catherinelee274! This has been a WIP draft for a while without further updates and now conflicts heavily with main. Closing for housekeeping; please feel free to reopen with a fresh branch if you'd like to continue. |
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What does this PR do?
Fixes #4998
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