Haobo Fu
Reinforcement Learning · 2018
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 — 21 citations into it
- Artificial Intelligence — 15 citations into it
Whom Haobo Fu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- David Silver (in Reinforcement Learning)
- Ronald J. Williams (in Reinforcement Learning)
- Sham M. Kakade (in Reinforcement Learning)
- Richard S. Sutton (in Reinforcement Learning)
Papers from Haobo Fu's perspective
Ordered by how strongly the researchers Haobo Fu trusts endorse each paper. Same corpus, a different order for every researcher.
- Asynchronous Methods for Deep Reinforcement Learning
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Human-level control through deep reinforcement learning
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Proximal Policy Optimization Algorithms (arXiv.org)
- Policy Gradient Methods for Reinforcement Learning with Function Approximation
- Mastering the game of Go with deep neural networks and tree search
- Deep Exploration via Bootstrapped DQN