Research map / Reinforcement learning / Offline RL

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

NeurIPS 2021 · Reinforcement learning › Offline RL · approach: Simple practical offline RL · 3 citations (OpenAlex)

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

• Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning (NeurIPS 2022 · similarity 0.92)
• Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data (ICLR 2026 · similarity 0.92)
• Simple Ingredients for Offline Reinforcement Learning (ICML 2024 · similarity 0.91)
• Hybrid Reinforcement Learning from Offline Observation Alone (ICML 2024 · similarity 0.90)
• Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning (AAAI 2024 · similarity 0.90)
• DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks (NeurIPS 2026 · similarity 0.90)