Jonanthan Hurst

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 Jonanthan Hurst trusts overall

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

1. Stéphane Ross

Papers from Jonanthan Hurst's perspective

Ordered by how strongly the researchers Jonanthan Hurst 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. Policy Gradient Methods for Reinforcement Learning with Function Approximation
4. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
5. Deep Reinforcement Learning that Matters
6. Generative Adversarial Imitation Learning
7. ALVINN, an autonomous land vehicle in a neural network
8. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
9. Emergence of Locomotion Behaviours in Rich Environments
10. Policy Distillation

Their papers

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