Li Deng zlipton

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 13 citations into it

Whom Li Deng zlipton trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton

Papers from Li Deng zlipton's perspective

Ordered by how strongly the researchers Li Deng zlipton trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. Human-level control through deep reinforcement learning
4. The Arcade Learning Environment: An Evaluation Platform for General Agents
5. End-to-End Training of Deep Visuomotor Policies
6. Residual Algorithms: Reinforcement Learning with Function Approximation
7. Learning to predict by the methods of temporal differences
8. Self-improving reactive agents based on reinforcement learning, planning and teaching
9. Intrinsically Motivated Reinforcement Learning
10. A possibility for implementing curiosity and boredom in model-building neural controllers

Their papers

• Combating Deep Reinforcement Learning ’ s Sisyphean Curse with Reinforcement Learning (2017)