Pradeep Varakantham

Reinforcement Learning · 2004–2013

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it

Whom Pradeep Varakantham trusts overall

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

1. Martin L. Puterman

Who trusts Pradeep Varakantham overall

1. Frans Adriaan Oliehoek
2. Francisco S. Melo
3. Matthijs T. J. Spaan
4. Chris Amato
5. Mohammad Ghavamzadeh
6. Shimon Whiteson

Papers from Pradeep Varakantham's perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. Robust Dynamic Programming
3. Learning Policies for Partially Observable Environments: Scaling Up
4. The Complexity of Decentralized Control of Markov Decision Processes
5. Bounded-parameter Markov decision processes (Artificial Intelligence)
6. Monte Carlo Sampling Methods
7. Robust Markov Decision Processes
8. Agent-based control for decentralised demand side management in the smart grid (Adaptive Agents and Multi-Agent Systems)
9. Pure Exploration in Multi-armed Bandits Problems
10. Occupancy-driven energy management for smart building automation (BuildSys@SenSys)

Their papers

• Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping (2009) — 76 citations
• Coordinating occupant behavior for building energy and comfort management using multi-agent systems (2012) — 383 citations
• Regret based Robust Solutions for Uncertain Markov Decision Processes (2013) — 21 citations
• Frontiers in Artificial Intelligence and Applications (2009) — 556 citations
• Taking DCOP to the real world: efficient complete solutions for distributed multi-event scheduling (2004) — 329 citations