Lingxi Li

Reinforcement Learning · 2023

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

Subfields

• Reinforcement Learning — 21 citations into it

Whom Lingxi Li trusts

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

1. Andrew Y. Ng (in Reinforcement Learning)

Papers from Lingxi Li's perspective

Ordered by how strongly the researchers Lingxi Li 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. Apprenticeship learning via inverse reinforcement learning
5. End to End Learning for Self-Driving Cars
6. Maximum Entropy Inverse Reinforcement Learning
7. Algorithms for Inverse Reinforcement Learning
8. Generative Adversarial Imitation 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