Maximilian Ernestus

Reinforcement Learning · 2021

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

Subfields

Whom Maximilian Ernestus trusts

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

  1. Pieter Abbeel (in Artificial Intelligence)

Papers from Maximilian Ernestus's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Human-level control through deep reinforcement learning
  3. Proximal Policy Optimization Algorithms (arXiv.org)
  4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  5. Hindsight Experience Replay
  6. Deep Reinforcement Learning that Matters
  7. TensorFlow: A system for large-scale machine learning
  8. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
  9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  10. Scikit-learn: Machine Learning in Python

Their papers