Nassim Mafi

Reinforcement Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it

Whom Nassim Mafi trusts overall

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

1. David John Cameron MacKay
2. K. Chaloner
3. Yangbo He

Who trusts Nassim Mafi overall

1. Adrien Baranes

Papers from Nassim Mafi's perspective

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

1. Information-Based Objective Functions for Active Data Selection
2. Infinite-Horizon Policy-Gradient Estimation
3. On a Measure of the Information Provided by an Experiment
4. Parameter-exploring policy gradients
5. Bayesian Experimental Design: A Review
6. Optimal Artificial Curiosity, Creativity, Music, and the Fine Arts
7. Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
8. An intrinsic reward mechanism for efficient exploration
9. Constrained reinforcement learning from intrinsic and extrinsic rewards
10. Reinforcement Learning: An Introduction

Their papers

• Intrinsically motivated information foraging (2010) — 8 citations