Research map / Reinforcement learning / Offline RL

Trajectory Generation with Conservative Value Guidance for Offline Reinforcement Learning

ICLR 2026 · Reinforcement learning › Offline RL · approach: Simple practical offline RL

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

• GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning (NeurIPS 2024 · similarity 0.92)
• Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models (NeurIPS 2025 · similarity 0.90)
• Critic-Guided Decision Transformer for Offline Reinforcement Learning (AAAI 2024 · similarity 0.90)
• Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning (ICML 2025 · similarity 0.90)
• Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning (NeurIPS 2024 · similarity 0.90)
• OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning (AAAI 2024 · similarity 0.89)