Research map / Reinforcement learning / Visual and representation RL
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
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
- Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (ICLR 2024 · similarity 0.88)
- Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning (ICLR 2024 · similarity 0.88)
- Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control (ICLR 2025 · similarity 0.88)
- Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic–Procedural Memory (ICML 2026 · similarity 0.88)
- MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory (NeurIPS 2026 · similarity 0.87)
- Relating Hopfield Networks to Episodic Control (NeurIPS 2024 · similarity 0.87)
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.
