Aditya Mandalika

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Aditya Mandalika trusts overall

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

1. Daniel Russo

Papers from Aditya Mandalika's perspective

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

1. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
2. Near-optimal Regret Bounds for Reinforcement Learning
3. (More) Efficient Reinforcement Learning via Posterior Sampling
4. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
5. Near-Bayesian exploration in polynomial time
6. Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
7. Convex Optimization: Algorithms and Complexity
8. Reinforcement Learning in Finite MDPs: PAC Analysis
9. Learning Policies for Partially Observable Environments: Scaling Up
10. Sampling-based algorithms for optimal motion planning

Their papers

• Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges (2020) — 14 citations