Viet-Cuong Ta

Reinforcement Learning · 2019

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

Subfields

• Reinforcement Learning — 13 citations into it

Whom Viet-Cuong Ta trusts overall

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

1. Richard S. Sutton

Papers from Viet-Cuong Ta's perspective

Ordered by how strongly the researchers Viet-Cuong Ta trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Deep Learning
5. Progressive Neural Networks
6. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
7. Policy Distillation
8. Learning to predict by the methods of temporal differences
9. Distral: Robust multitask reinforcement learning
10. Multi-task reinforcement learning: a hierarchical Bayesian approach

Their papers

• Sharing Experience in Multitask Reinforcement Learning (2019) — 22 citations