← Back to papers
2024 ICML ICML 2024

Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms

🌉 Interdisciplinary Bridge — Machine Learning and Reinforcement Learning
🐝 Cross-Pollinator — Artificial Intelligence, Deep Learning, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics

Authors

Filippo Lazzati , Mirco Mutti , Alberto Maria Metelli

Topics

Machine Learning > Optimization & Theory > Optimization Reinforcement Learning > Methods > Offline RL

Keywords

offline reinforcement learning policy optimization inverse reinforcement learning
Download PDF

Related papers

Learning Latent Dynamic Robust Representations for World Models 2024
Beyond Individual Input for Deep Anomaly Detection on Tabular Data 2024
Risk Estimation in a Markov Cost Process: Lower and Upper Bounds 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval 2024
Ranking-based Client Imitation Selection for Efficient Federated Learning 2024