Matthew Shunshi Zhang

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 35 citations into it
• Artificial Intelligence — 30 citations into it

Whom Matthew Shunshi Zhang trusts overall

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

1. Richard S. Sutton

Papers from Matthew Shunshi Zhang's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. Trust Region Policy Optimization (International Conference on Machine Learning)
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. Benchmarking Deep Reinforcement Learning for Continuous Control
7. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
8. Unifying Count-Based Exploration and Intrinsic Motivation
9. Deep Reinforcement Learning that Matters
10. Learning Continuous Control Policies by Stochastic Value Gradients

Their papers

• Benchmarking Model-Based Reinforcement Learning (2019) — 394 citations