Tangjie Lv

Reinforcement Learning · 2018

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 — 23 citations into it

Whom Tangjie Lv trusts overall

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

1. Michael L. Littman

Papers from Tangjie Lv's perspective

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

1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
2. End-to-End Training of Deep Visuomotor Policies
3. Feudal Reinforcement Learning
4. FeUdal Networks for Hierarchical Reinforcement Learning
5. The Option-Critic Architecture
6. ImageNet classification with deep convolutional neural networks
7. Markov Games as a Framework for Multi-Agent Reinforcement Learning
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Long Short-Term Memory

Their papers

• Hierarchical Deep Multiagent Reinforcement Learning (2018) — 24 citations