# Eyal Even-Dar

According to our database

Collaborative distances:

^{1}, Eyal Even-Dar authored at least 37 papers between 2001 and 2016.Collaborative distances:

## Timeline

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## Bibliography

2016

Reinforcement Learning.

Encyclopedia of Algorithms, 2016

2014

On Nash Equilibria for a Network Creation Game.

ACM Trans. Economics and Comput., 2014

2011

A note on maximizing the spread of influence in social networks.

Inf. Process. Lett., 2011

Telling Two Distributions Apart: a Tight Characterization

CoRR, 2011

Modeling the Parallel Execution of Black-Box Services.

Proceedings of the 3rd USENIX Workshop on Hot Topics in Cloud Computing, 2011

2010

Routing Without Regret: On Convergence to Nash Equilibria of Regret-Minimizing Algorithms in Routing Games.

Theory Comput., 2010

Approximation Schemes for Sequential Posted Pricing in Multi-unit Auctions.

Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Selective Call Out and Real Time Bidding.

Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Learning with Global Cost in Stochastic Environments.

Proceedings of the COLT 2010, 2010

Regret Minimization With Concept Drift.

Proceedings of the COLT 2010, 2010

2009

Online Markov Decision Processes.

Math. Oper. Res., 2009

Bid optimization for broad match ad auctions.

Proceedings of the 18th International Conference on World Wide Web, 2009

On the convergence of regret minimization dynamics in concave games.

Proceedings of the 41st Annual ACM Symposium on Theory of Computing, 2009

Tutorial summary: Convergence of natural dynamics to equilibria.

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Online Learning for Global Cost Functions.

Proceedings of the COLT 2009, 2009

2008

Reinforcement Learning.

Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Theory research at Google.

SIGACT News, 2008

Regret to the best vs. regret to the average.

Mach. Learn., 2008

Position Auctions with Bidder-Specific Minimum Prices.

Proceedings of the Internet and Network Economics, 4th International Workshop, 2008

2007

Convergence time to Nash equilibrium in load balancing.

ACM Trans. Algorithms, 2007

Sponsored Search with Contexts.

Proceedings of the Internet and Network Economics, Third International Workshop, 2007

A network formation game for bipartite exchange economies.

Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

The Value of Observation for Monitoring Dynamic Systems.

Proceedings of the IJCAI 2007, 2007

2006

Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems.

J. Mach. Learn. Res., 2006

(In)Stability properties of limit order dynamics.

Proceedings of the Proceedings 7th ACM Conference on Electronic Commerce (EC-2006), 2006

A Small World Threshold for Economic Network Formation.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Risk-Sensitive Online Learning.

Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005

Planning in POMDPs Using Multiplicity Automata.

Proceedings of the UAI '05, 2005

Fast convergence of selfish rerouting.

Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Reinforcement Learning in POMDPs Without Resets.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

Experts in a Markov Decision Process.

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Learning Rates for Q-learning.

J. Mach. Learn. Res., 2003

Action Elimination and Stopping Conditions for Reinforcement Learning.

Proceedings of the Machine Learning, 2003

Convergence Time to Nash Equilibria.

Proceedings of the Automata, Languages and Programming, 30th International Colloquium, 2003

Approximate Equivalence of Markov Decision Processes.

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

PAC Bounds for Multi-armed Bandit and Markov Decision Processes.

Proceedings of the Computational Learning Theory, 2002

2001

Convergence of Optimistic and Incremental Q-Learning.

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001