Nuttapong Chentanez

Reinforcement Learning · 2004–2018

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 35 citations into it; #262 of 2,242 by trust here, #423 by citations
• Artificial Intelligence — 23 citations into it; #4,328 of 35,345 by trust here, #6,157 by citations
• Computer Graphics and Computer-Aided Design — 15 citations into it; #1,125 of 1,584 by trust here, #875 by citations
• Computational Mechanics — 14 citations into it; #7,168 of 10,001 by trust here, #4,937 by citations
• Control and Systems Engineering — 12 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it; #15,475 of 21,575 by trust here, #14,151 by citations

Whom Nuttapong Chentanez trusts overall

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

1. Matthias Müller
2. Andrew Barto
3. Richard S. Sutton
4. Ronald Fedkiw
5. Robert Bridson
6. J. Urgen Schmidhuber
7. Peter S. Dayan
8. Miles Macklin

Who trusts Nuttapong Chentanez overall

1. J. Urgen Schmidhuber
2. Andrew Barto
3. George Dimitri Konidaris
4. Sergey Levine
5. Peter S. Dayan
6. Pierre-Yves Oudeyer
7. Yoshua Bengio
8. Özgür Simsek
9. Pieter Abbeel
10. Jianfeng Gao

Papers from Nuttapong Chentanez's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Reinforcement Learning: An Introduction
3. ImageNet classification with deep convolutional neural networks
4. Et al
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Proximal Policy Optimization Algorithms (arXiv.org)
7. MuJoCo: A physics engine for model-based control
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Intrinsically Motivated Reinforcement Learning (2004) — 879 citations
• Unified particle physics for real-time applications (2014) — 550 citations
• GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning (2018) — 245 citations
• XPBD: position-based simulation of compliant constrained dynamics (2016) — 457 citations
• A Agent Environment StatesActions Rewards Critic B Agent Internal Environment Rewards Critic External Environment Sensations StatesDecisions Actions " Organism " Figure 1 (2004)