Bo Cheng

Reinforcement Learning · with Duan · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 32 citations into it
• Artificial Intelligence — 27 citations into it

Whom Bo Cheng trusts overall

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

1. Richard S. Sutton

Papers from Bo Cheng's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Reinforcement Learning: An Introduction
3. Human-level control through deep reinforcement learning
4. Trust Region Policy Optimization (International Conference on Machine Learning)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
7. MuJoCo: A physics engine for model-based control
8. Proximal Policy Optimization Algorithms (arXiv.org)
9. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors (2020) — 317 citations