Research map / Reinforcement learning / Policy gradient and actor-critic

Temporal Difference Models: Model-Free Deep RL for Model-Based Control

ICLR 2018 · Reinforcement learning › Policy gradient and actor-critic · approach: Regularized scalable deep value learning · 152 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

• Towards General-Purpose Model-Free Reinforcement Learning (ICLR 2025 · similarity 0.91)
• Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control (ICLR 2025 · similarity 0.89)
• Discerning Temporal Difference Learning (AAAI 2024 · similarity 0.89)
• TD-MPC2: Scalable, Robust World Models for Continuous Control (ICLR 2024 · similarity 0.89)
• Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning (ICML 2025 · similarity 0.88)
• The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning (NeurIPS 2024 · similarity 0.88)