Yiwen Lu
Reinforcement Learning · 2021
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 23 citations into it
Whom Yiwen Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yiwen Lu's perspective
Ordered by how strongly the researchers Yiwen Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Unifying Count-Based Exploration and Intrinsic Motivation
- Counterfactual Multi-Agent Policy Gradients (AAAI Conference on Artificial Intelligence)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Deep Exploration via Bootstrapped DQN
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments