Sabyasachi Saha

Reinforcement Learning · 2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it
• Game & Decision Theory — 5 citations into it

Whom Sabyasachi Saha trusts overall

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

1. Robert Axelrod
2. Michael H. Bowling
3. David E. Goldberg

Papers from Sabyasachi Saha's perspective

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

1. The Theory of Learning in Games
2. Correlated Q-Learning
3. Rational and Convergent Learning in Stochastic Games
4. Multiagent learning using a variable learning rate
5. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
6. Convergence and No-Regret in Multiagent Learning
7. Run the GAMUT: a comprehensive approach to evaluating game-theoretic algorithms
8. Multiagent reinforcement learning in the Iterated Prisoner's Dilemma.
9. The Evolution of Strategies in the Iterated Prisoner's Dilemma
10. A Comparative Analysis of Selection Schemes Used in Genetic Algorithms

Their papers

• Evolutionary Tournament-Based Comparison of Learning and Non-Learning Algorithms for Iterated Games (2007) — 13 citations