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Reasoning + Training + Rl

14.0

Build a simulation environment that models the 'model collapse' loop by training an agent on recursive outputs. This tool would visualize how drift and selection pressures shape synthetic corpora over generations.

+0
emergingimplementation gap
rltrainingreasoningmodeling

Signals (4)

arXiv16h ago

Robust Reasoning Benchmark

arXiv16h ago

SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks

arXiv16h ago

StaRPO: Stability-Augmented Reinforcement Policy Optimization

arXiv16h ago

Drift and selection in LLM text ecosystems