F. Zhu

Reinforcement Learning · with Chen · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it

Whom F. Zhu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Fei-Yue Wang
2. J. Stankovic

Papers from F. Zhu's perspective

Ordered by how strongly the researchers F. Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. Playing Atari with Deep Reinforcement Learning (arXiv.org)
4. End to End Learning for Self-Driving Cars
5. Apprenticeship learning via inverse reinforcement learning
6. Maximum Entropy Inverse Reinforcement Learning
7. Generative Adversarial Imitation Learning
8. Algorithms for Inverse Reinforcement Learning
9. Vision meets robotics: The KITTI dataset
10. Q-learning

Their papers

• Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives (2023) — 570 citations
• Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management (2020) — 299 citations