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- 19 days ago x.com
Training decision models with calibrated probabilities
A publication dated October 4, 2026 describes a reinforcement-learning setup that scores options in separate branches and combines outcome prediction with confidence calibration.
- 19 days ago huggingface.co
Training models across four agent harnesses with a proxy
A post published on October 2, 2026 describes RL training across four agent harnesses, recording token IDs and sampled logprobs, and reports score improvements.
- 19 days ago github.com
WANDR: an environment for evaluating agentic search
In a post published on July 14, 2026, Perplexity says it is making available a reinforcement-learning and evaluation environment for agentic search, synthesized from production traces with weak human supervision.
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