Vytas SunSpiral

Reinforcement Learning · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 12 citations into it

Whom Vytas SunSpiral trusts overall

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

1. Sergey Levine

Who trusts Vytas SunSpiral overall

1. Lei Tai

Papers from Vytas SunSpiral's perspective

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

1. Trust Region Policy Optimization (International Conference on Machine Learning)
2. End-to-End Training of Deep Visuomotor Policies
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Relative Entropy Policy Search
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
10. A Survey on Policy Search for Robotics

Their papers

• Deep reinforcement learning for tensegrity robot locomotion (2016) — 106 citations
• Design and control of compliant tensegrity robots through simulation and hardware validation (2014) — 294 citations