When to Commit and When to Defer: Maturing Markov Decision Processes under Refining Information and Expiring Opportunities
cs.LG, cs.AI
Submitted: 2026-06-17
Updated: 2026-09-27
Terminology
Sources
- DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
- Maximum Weight Online Matching with Deadlines
- Learning to Cover: Online Learning and Optimization with Irreversible Decisions
- Deep Reinforcement Learning in Parameterized Action Space
- Proximal Policy Optimization Algorithms
- Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks