Eric D. Langlois

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 35 citations into it
• Artificial Intelligence — 30 citations into it

Whom Eric D. Langlois trusts overall

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

1. Richard S. Sutton

Papers from Eric D. Langlois's perspective

Ordered by how strongly the researchers Eric D. Langlois trusts endorse each paper. Same corpus, a different order for every researcher.

1. Asynchronous Methods for Deep Reinforcement Learning
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. Trust Region Policy Optimization (International Conference on Machine Learning)
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
7. Benchmarking Deep Reinforcement Learning for Continuous Control
8. Unifying Count-Based Exploration and Intrinsic Motivation
9. Learning Continuous Control Policies by Stochastic Value Gradients
10. Deep Reinforcement Learning that Matters

Their papers

• Benchmarking Model-Based Reinforcement Learning (2019) — 394 citations