Edward A. Parson
2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Edward A. Parson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Edward A. Parson overall
Papers from Edward A. Parson's perspective
Ordered by how strongly the researchers Edward A. Parson trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian dark knowledge
- Knows what it knows: a framework for self-aware learning
- Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
- Active Reward Learning
- Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas (Engineering applications of artificial intelligence)
- Algorithmic Learning in a Random World
- Visualizing and Understanding Convolutional Networks
- Cooperative Inverse Reinforcement Learning
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Interactively shaping agents via human reinforcement: the TAMER framework
Their papers
- Max – A Thought Experiment: Could AI Run the Economy Better Than Markets? (2020) — 4 citations