Research map / Reinforcement learning / Policy gradient and actor-critic
Gradient Information Matters in Policy Optimization by Back-propagating through Model
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
- Differentiable Information Enhanced Model-Based Reinforcement Learning (AAAI 2025 · similarity 0.89)
- Diffusion Policy Policy Optimization (ICLR 2025 · similarity 0.89)
- Policy-conditioned Environment Models are More Generalizable (ICML 2024 · similarity 0.88)
- Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation (ICML 2024 · similarity 0.88)
- PWM: Policy Learning with Multi-Task World Models (ICLR 2025 · similarity 0.87)
- Identifying Policy Gradient Subspaces (ICLR 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.