Andrea Bonarini
Reinforcement Learning · 2008–2020
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 26 citations into it
- Artificial Intelligence — 23 citations into it; #17,208 of 35,345 by trust here, #16,166 by citations
- Computational Theory and Mathematics — 10 citations into it
- Control and Systems Engineering — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Andrea Bonarini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew E. Taylor
- Andreas Maurer
- Damien Ernst
- Peter Stone
- Martin A. Riedmiller
- Jonathan Baxter
- Nicholas K. Jong
- Richard S. Sutton
- Kyle Duffie
- Csaba Szepesvari
Who trusts Andrea Bonarini overall
Papers from Andrea Bonarini's perspective
Ordered by how strongly the researchers Andrea Bonarini trusts endorse each paper. Same corpus, a different order for every researcher.
- Human-level control through deep reinforcement learning
- ImageNet classification with deep convolutional neural networks
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Multitask Learning
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Reinforcement Learning: An Introduction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- MuJoCo: A physics engine for model-based control
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Transfer of samples in batch reinforcement learning (2008) — 200 citations
- Sharing Knowledge in Multi-Task Deep Reinforcement Learning (2020) — 156 citations
- Fitted Policy Search: Direct Policy Search using a Batch Reinforcement Learning Approach (2010) — 5 citations