Murugeswari Issakkimuthu
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it; #28,351 of 35,345 by trust here, #33,294 by citations
Whom Murugeswari Issakkimuthu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Murugeswari Issakkimuthu overall
Papers from Murugeswari Issakkimuthu's perspective
Ordered by how strongly the researchers Murugeswari Issakkimuthu trusts endorse each paper. Same corpus, a different order for every researcher.
- Human-level control through deep reinforcement learning
- Mastering the game of Go with deep neural networks and tree search
- Mastering the game of Go without human knowledge
- Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes
- Learning Action Strategies for Planning Domains
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- Training Deep Reactive Policies for Probabilistic Planning Problems (2018) — 42 citations