David T. Jackson

Reinforcement Learning · 2010

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

Subfields

• Reinforcement Learning — 5 citations into it

Whom David T. Jackson trusts overall

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

1. Christopher G. Atkeson

Papers from David T. Jackson's perspective

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

1. Using inaccurate models in reinforcement learning
2. A comparison of direct and model-based reinforcement learning
3. Receding Horizon Differential Dynamic Programming
4. Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp
5. Incremental Online Learning in High Dimensions
6. Autonomous Automobile Trajectory Tracking for Off-Road Driving: Controller Design, Experimental Validation and Racing (American Control Conference)
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Reinforcement Learning: An Introduction
10. Playing Atari with Deep Reinforcement Learning (arXiv.org)

Their papers

• A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving (2010) — 75 citations