Research map / Reinforcement learning / MDPs and planning
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning
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
- Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation (NeurIPS 2024 · similarity 0.92)
- Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Value Flow Mechanism (ICML 2026 · similarity 0.91)
- Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective (AAAI 2024 · similarity 0.89)
- Reward-free World Models for Online Imitation Learning (ICML 2025 · similarity 0.89)
- When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon (NeurIPS 2026 · similarity 0.89)
- Replicable Online Learning (NeurIPS 2025 · similarity 0.88)
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.
