Tianpei Yang
Reinforcement Learning · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 58 citations into it
- Artificial Intelligence — 47 citations into it
Whom Tianpei Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanmit Narvekar
- Richard S. Sutton
- Volodymyr Mnih
- John Schulman
- Tabish Rashid
- Mikayel Samvelyan
- Geoffrey E. Hinton
- Yoshua Bengio
- Peter Stone
- Diederik P. Kingma
Who trusts Tianpei Yang overall
Papers from Tianpei Yang's perspective
Ordered by how strongly the researchers Tianpei Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
- Human-level control through deep reinforcement learning
- Asynchronous Methods for Deep Reinforcement Learning
- ImageNet: A large-scale hierarchical image database
Their papers
- From Few to More: Large-scale Dynamic Multiagent Curriculum Learning (2019) — 141 citations
- Action Semantics Network: Considering the Effects of Actions in Multiagent Systems (2019) — 46 citations
- Adaptively Shaping Reinforcement Learning Agents via Human Reward (2018) — 6 citations