Research map / Reinforcement learning / Policy gradient and actor-critic
Local policy search with Bayesian optimization
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Probabilistic Inference in Reinforcement Learning Done Right (NeurIPS 2023 · similarity 0.91)
- Augmented Bayesian Policy Search (ICLR 2024 · similarity 0.90)
- Bayesian Exploration Networks (ICML 2024 · similarity 0.89)
- Bayesian Design Principles for Offline-to-Online Reinforcement Learning (ICML 2024 · similarity 0.89)
- Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning (NeurIPS 2026 · similarity 0.88)
- Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis (AAAI 2024 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.