Research map / Reinforcement learning / Visual and representation RL
Automating the Refinement of Reinforcement Learning Specifications
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
- Compositional Reinforcement Learning from Logical Specifications (NeurIPS 2021 · similarity 0.90)
- A Composable Specification Language for Reinforcement Learning Tasks (NeurIPS 2019 · similarity 0.89)
- On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning (ICLR 2024 · similarity 0.88)
- HYPRL: Reinforcement Learning of Control Policies for Hyperproperties (NeurIPS 2025 · similarity 0.88)
- Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs (NeurIPS 2025 · similarity 0.86)
- DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL (ICLR 2025 · similarity 0.86)
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.