Research map / Reinforcement learning / Visual and representation RL
Combinatorial Optimization with Policy Adaptation using Latent Space Search
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
- Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization (NeurIPS 2023 · similarity 0.93)
- Preference Optimization for Combinatorial Optimization Problems (ICML 2025 · similarity 0.91)
- Reinforcement learning with combinatorial actions for coupled restless bandits (ICLR 2025 · similarity 0.89)
- Memory-Enhanced Neural Solvers for Routing Problems (NeurIPS 2025 · similarity 0.88)
- Large Language Models as End-to-end Combinatorial Optimization Solvers (NeurIPS 2025 · similarity 0.88)
- PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization (NeurIPS 2025 · 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.