Thanh Ha Le

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 Thanh Ha Le trusts

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

1. Richard S. Sutton (in Reinforcement Learning)

Papers from Thanh Ha Le's perspective

Ordered by how strongly the researchers Thanh Ha Le 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