| --- |
| license: mit |
| base_model: |
| - Klingspor/lta_singleturn_hard_sft_qwen3-4b |
| --- |
| |
| # ∆Belief-RL Post-trained Model |
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| This model is a reinforcement learning (RL) post-trained language model optimized with the ∆Belief reward signal introduced in [∆Belief-RL](https://bethgelab.github.io/delta-belief-rl/). |
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| Instead of relying solely on sparse success signals, the model is rewarded for reducing its own belief uncertainty over time. This enables dense feedback and turn-level credit assignment in long-horizon, open-ended information-seeking tasks. |
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| The model was trained in the *Twenty Questions* environment and learns general information-seeking strategies that generalize beyond the training horizon. |
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| ## Resources |
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| - 🌐 Project page: https://bethgelab.github.io/delta-belief-rl/ |
| - 💻 Code repository: https://github.com/bethgelab/delta-belief-rl |
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