Rajesh Yellamraju
Artificial Intelligence · 2012
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Reinforcement Learning — 6 citations into it
Whom Rajesh Yellamraju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rajesh Yellamraju's perspective
Ordered by how strongly the researchers Rajesh Yellamraju trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Reinforcement learning with selective perception and hidden state
- The Complexity of Decentralized Control of Markov Decision Processes
- Memory-Bounded Dynamic Programming for DEC-POMDPs
- Introduction to Reinforcement Learning
- The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
- R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
- Learning Finite-State Controllers for Partially Observable Environments
- Point-based Dynamic Programming for DEC-POMDPs
- Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion
Their papers
- Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs (2012) — 30 citations