Kaiwen Wu

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 19 citations into it
• Artificial Intelligence — 17 citations into it
• Statistics and Probability — 5 citations into it

Whom Kaiwen Wu trusts overall

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

1. Richard S. Sutton
2. Marc G. Bellemare

Papers from Kaiwen Wu's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. The Arcade Learning Environment: An Evaluation Platform for General Agents
4. Unifying Count-Based Exploration and Intrinsic Motivation
5. Learning to predict by the methods of temporal differences
6. Asymptotically efficient adaptive allocation rules
7. Rainbow: Combining Improvements in Deep Reinforcement Learning
8. Q-learning
9. Dynamic Programming
10. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Their papers

• Distributional Reinforcement Learning for Efficient Exploration (2019) — 107 citations