Pedro Morais

Reinforcement Learning · 2019

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 — 16 citations into it

Whom Pedro Morais trusts overall

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

1. Stéphane Ross
2. Dean A. Pomerleau

Papers from Pedro Morais's perspective

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

1. Proximal Policy Optimization Algorithms (arXiv.org)
2. MuJoCo: A physics engine for model-based control
3. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Deep Reinforcement Learning that Matters
8. Generative Adversarial Imitation Learning
9. Gradient-based learning applied to document recognition
10. ALVINN, an autonomous land vehicle in a neural network

Their papers

• Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real (2019) — 175 citations