Dimitar Filev
Artificial Intelligence · 2004–2020
A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #7,521 of 35,345 by trust here, #20,377 by citations
- Reinforcement Learning — 17 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Control and Systems Engineering — 8 citations into it; #1,013 of 8,257 by trust here, #4,045 by citations
Whom Dimitar Filev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald F. Specht
- K. Åström
- Nikola K. Kasabov
- Martin Treiber
- Kalyanmoy Deb
- Diederik P. Kingma
- Richard S. Sutton
- Plamen Parvanov Angelov
- Timothy P. Lillicrap
- Marek Kretowski
Who trusts Dimitar Filev overall
- J. J. Rubio
- Edwin David Lughofer
- Hai-Jun Rong
- Santiago Marco
- Chia-Feng Juang
- Subramanya P. Nageshrao
- Chern Hong Lim
- Marco A. F. Pimentel
- G. Huang
- Narasimhan Sundararajan
Papers from Dimitar Filev's perspective
Ordered by how strongly the researchers Dimitar Filev trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Asynchronous Methods for Deep Reinforcement Learning
- Human-level control through deep reinforcement learning
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Proximal Policy Optimization Algorithms (arXiv.org)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems (2020) — 20 citations
- Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules (2019) — 10 citations
- Velocity profile optimization of on road vehicles: Pontryagin's Maximum Principle based approach ☆ (2017) — 56 citations
- Analytical Solution to the Minimum Energy Consumption Based Velocity Profile Optimization Problem With Variable Road Grade (2014) — 57 citations
- Design and Analysis of an Adaptive Real-Time Advisory System for Improving Real World Fuel Economy in a Hybrid Electric Vehicle (2010)
- Evolving Intelligent Systems: Methodology and Applications (2010) — 323 citations
- An approach to online identification of Takagi-Sugeno fuzzy models (2004) — 1,006 citations