Behavior-Consistent Deep Reinforcement Learning
Marcel Hussing, Liv G. d'Aliberti, Claas Voelcker, Benjamin Eysenbach, Eric Eaton
cs.LG, cs.AI
Submitted: 2026-08-21
Updated: 2026-08-24
Terminology
Sources
- How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments
- Soft Actor-Critic Algorithms and Applications
- From Generative to Episodic: Sample-Efficient Replicable Reinforcement Learning
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
- Deep Exploration via Randomized Value Functions
- 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: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks