Google DeepMind
Artificial Intelligence · 2025
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Reinforcement Learning — 16 citations into it
Whom Google DeepMind trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Google DeepMind's perspective
Ordered by how strongly the researchers Google DeepMind trusts endorse each paper. Same corpus, a different order for every researcher.
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Reinforcement Learning: An Introduction
- Eligibility Traces for Off-Policy Policy Evaluation
- Learning to predict by the methods of temporal differences
- Learning from delayed rewards
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Incremental multi-step Q-learning
- Attention is All you Need (Neural Information Processing Systems)
- Neuro-Dynamic Programming
- Off-Policy Temporal Difference Learning with Function Approximation