Planning to Learn
cs.LG, math.OC, stat.ML
Submitted: 2026-10-02
Updated: 2026-10-02
Sources
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
- Dynamics-Aware Loss for Learning with Label Noise
- Delightful Policy Gradient
- Delightful Distributed Policy Gradient
- Does This Gradient Spark Joy?
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Maximum Likelihood Reinforcement Learning
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks