Murray Campbell
Identifiers
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Papers (10)
- Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning cs.LG · 2019 · author #4
- Hybrid Reinforcement Learning with Expert State Sequences cs.LG · 2019 · author #5
- TED: Teaching AI to Explain its Decisions cs.AI · 2018 · author #3
- Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration cs.LG · 2018 · author #7
- Teaching Meaningful Explanations cs.AI · 2018 · author #4
- Learning to Teach in Cooperative Multiagent Reinforcement Learning cs.MA · 2018 · author #7
- The Eigenoption-Critic Framework cs.AI · 2017 · author #4
- Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering cs.CL · 2017 · author #10
- Eigenoption Discovery through the Deep Successor Representation cs.LG · 2017 · author #6
- UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS cs.AI · 2016 · author #4
Mentions
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Frequent Coauthors
- Gerald Tesauro 5 shared papers
- Amit Dhurandhar 3 shared papers
- Dennis Wei 3 shared papers
- Karthikeyan Natesan Ramamurthy 3 shared papers
- Kush R. Varshney 3 shared papers
- Miao Liu 3 shared papers
- Michael Hind 3 shared papers
- Noel C. F. Codella 3 shared papers
- Xiaoxiao Guo 3 shared papers
- Aleksandra Mojsilovi\'c 2 shared papers
- Marlos C. Machado 2 shared papers
- Mo Yu 2 shared papers
- Shiyu Chang 2 shared papers
- Aleksandra Mojsilovic 1 shared papers
- Christopher Amato 1 shared papers
- Clemens Rosenbaum 1 shared papers
- Djallel Bouneffouf 1 shared papers
- Dong-Ki Kim 1 shared papers
- Francesca Rossi 1 shared papers
- Jing Jiang 1 shared papers