Adrian Bolton
Reinforcement Learning · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 56 citations into it; #2,185 of 2,242 by trust here, #135 by citations
Whom Adrian Bolton trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton (in Reinforcement Learning)
Who trusts Adrian Bolton
- Yuxi Li (in Artificial Intelligence)
Papers from Adrian Bolton's perspective
Ordered by how strongly the researchers Adrian Bolton trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Asynchronous Methods for Deep Reinforcement Learning
- Human-level control through deep reinforcement learning
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Markov Games as a Framework for Multi-Agent Reinforcement Learning
- Dynamic Programming and Markov Processes
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
- Mastering the game of Go with deep neural networks and tree search
Their papers
- Mastering the game of Go without human knowledge (2017) — 10,580 citations
- DeepMind Lab (2016) — 267 citations
- Using Unity to Help Solve Intelligence (2020) — 23 citations