Xudong Xu

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom Xudong Xu trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Tom Erez

Papers from Xudong Xu's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Reinforcement Learning: An Introduction
4. Human-level control through deep reinforcement learning
5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
6. MuJoCo: A physics engine for model-based control
7. Playing Atari with Deep Reinforcement Learning (arXiv.org)
8. Learning Continuous Control Policies by Stochastic Value Gradients
9. Prioritized Experience Replay
10. Deterministic Policy Gradient Algorithms

Their papers

• A novel DDPG method with prioritized experience replay (2017) — 247 citations