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README.md

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+---
+license: mit
+base_model:
+- Klingspor/lta_singleturn_hard_sft_qwen3-1.7b
+---
+
+# ∆Belief-RL Post-trained Model
+
+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/).
+
+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.
+
+The model was trained in the *Twenty Questions* environment and learns general information-seeking strategies that generalize beyond the training horizon.
+
+## Resources
+
+- 🌐 Project page: https://bethgelab.github.io/delta-belief-rl/
+- 💻 Code repository: https://github.com/bethgelab/delta-belief-rl