Weisen Shi

Reinforcement Learning · 2018–2019

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 — 6 citations into it

Whom Weisen Shi trusts

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

1. Ronald J. Williams (in Reinforcement Learning)

Papers from Weisen Shi's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Deep Reinforcement Learning with Double Q-Learning
4. Deterministic Policy Gradient Algorithms
5. End to End Learning for Self-Driving Cars
6. Vision meets robotics: The KITTI dataset
7. GPSR: greedy perimeter stateless routing for wireless networks (ACM/IEEE International Conference on Mobile Computing and Networking)
8. Off-Road Obstacle Avoidance through End-to-End Learning
9. Computer Vision - Algorithms and Applications
10. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

Their papers

• Internet of vehicles in big data era (2018) — 469 citations
• Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach (2019) — 764 citations