Research map / Reinforcement learning / Offline RL

Representation Balancing Offline Model-based Reinforcement Learning

ICLR 2021 · Reinforcement learning › Offline RL · approach: Offline RL sample complexity theory · 8 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

• MOPO: Model-based Offline Policy Optimization (NeurIPS 2020 · similarity 0.91)
• Reining Generalization in Offline Reinforcement Learning via Representation Distinction (NeurIPS 2023 · similarity 0.90)
• Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets (NeurIPS 2023 · similarity 0.90)
• Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning (AAAI 2025 · similarity 0.89)
• Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning (NeurIPS 2024 · similarity 0.89)
• A Clean Slate for Offline Reinforcement Learning (NeurIPS 2025 · similarity 0.88)