Ramandeep S. Randhawa

Reinforcement Learning · 2004

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

Subfields

• Reinforcement Learning — 6 citations into it

Whom Ramandeep S. Randhawa trusts overall

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

1. Richard S. Sutton
2. Satinder Singh
3. Andrew Barto
4. Reuven Y. Rubinstein

Who trusts Ramandeep S. Randhawa overall

1. Huizhen Yu
2. Matthieu Geist

Papers from Ramandeep S. Randhawa's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Gradient-based learning applied to document recognition
3. Residual Algorithms: Reinforcement Learning with Function Approximation
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Near-Optimal Reinforcement Learning in Polynomial Time
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Trust Region Policy Optimization (International Conference on Machine Learning)
8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
9. ImageNet classification with deep convolutional neural networks
10. Reinforcement Learning: An Introduction

Their papers

• Combining importance sampling and temporal difference control variates to simulate Markov Chains (2004) — 26 citations