A. Walid

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Finance — 5 citations into it

Whom A. Walid trusts overall

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

1. Jason C. Hsu
2. John Schulman

Papers from A. Walid's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Actor-Critic Algorithms
5. Large-Scale Study of Curiosity-Driven Learning
6. An empirical investigation of the challenges of real-world reinforcement learning
7. Expected Returns: An Investor’s Guide to Harvesting Market Rewards
8. Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Deep reinforcement learning for automated stock trading: an ensemble strategy (2020) — 317 citations