Angel Romero

Reinforcement Learning · 2023

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 — 9 citations into it

Whom Angel Romero trusts overall

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

1. Richard S. Sutton
2. Gianluca Frison
3. John Schulman

Papers from Angel Romero's perspective

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

1. Human-level control through deep reinforcement learning
2. Reinforcement Learning: An Introduction
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Dynamic Programming and Optimal Control
5. HPIPM: a high-performance quadratic programming framework for model predictive control (IFAC-PapersOnLine)
6. Learning quadrupedal locomotion over challenging terrain
7. Applied Optimal Control: Optimization, Estimation, and Control
8. Autonomous navigation of stratospheric balloons using reinforcement learning
9. Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot
10. Learning robust perceptive locomotion for quadrupedal robots in the wild (Science Robotics)

Their papers

• Reaching the limit in autonomous racing: Optimal control versus reinforcement learning (2023) — 300 citations