Towards Optimal Policy Improvement
cs.LG
Submitted: 2026-10-01
Updated: 2026-10-01
Sources
- Maximum a Posteriori Policy Optimisation
- D4RL: Datasets for Deep Data-Driven Reinforcement Learning
- Mastering Diverse Domains through World Models
- ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
- A unified view of entropy-regularized Markov decision processes
- Particle Monte Carlo Tree Search
- Proximal Policy Optimization Algorithms
- Deep Reinforcement Learning and the Deadly Triad
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