Rachita Chandra

Artificial Intelligence · 2018

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

• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Rachita Chandra trusts

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

1. Dimitri P. Bertsekas (in Reinforcement Learning)

Papers from Rachita Chandra's perspective

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

1. Apprenticeship learning via inverse reinforcement learning
2. Concrete Problems in AI Safety
3. Neuro-Dynamic Programming
4. The Epoch-Greedy algorithm for contextual multi-armed bandits
5. Introduction to Reinforcement Learning
6. Thompson Sampling for Contextual Bandits with Linear Payoffs
7. Moral Machines: Teaching Robots Right from Wrong
8. Research Priorities for Robust and Beneficial Artificial Intelligence
9. AI Safety Gridworlds
10. Programmatically Interpretable Reinforcement Learning

Their papers

• Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration (2018) — 25 citations