Extreme q-learning: Maxent rl without entropy

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Showing 5 of 5 citing papers.

• Spectral Souping: A Unified Framework for Online Preference Alignment cs.LG · 2026-05-19 · unverdicted · none · ref 6

  Spectral Souping learns offline specialized policies for fine-grained preferences and merges them online using a discovered universal spectral representation for efficient LLM alignment.

• Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer cs.LG · 2026-05-07 · unverdicted · none · ref 10

  Injecting RTG into states outside the autoregressive sequence yields shorter, more efficient Decision Transformers that outperform the original on offline RL tasks.

• Fisher Decorator: Refining Flow Policy via a Local Transport Map cs.LG · 2026-04-20 · unverdicted · none · ref 49

  Fisher Decorator refines flow policies in offline RL via a local transport map and Fisher-matrix quadratic approximation of the KL constraint, yielding controllable error near the optimum and SOTA benchmark results.

• IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies cs.LG · 2023-04-20 · conditional · none · ref 14

  IDQL generalizes IQL into an actor-critic framework and uses diffusion policies for robust policy extraction, outperforming prior offline RL methods.

• Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cs.LG · 2026-05-03 · unreviewed · ref 48