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Publications of Author

1. Rémi Munos
   Error Bounds for Approximate Value Iteration. [Citation Graph (0, 0)][DBLP]
   AAAI, 2005, pp:1006-1011 [Conf]
   
2. Rémi Munos
   Geometric Variance Reduction in Markov Chains. Application to Value Function and Gradient Estimation. [Citation Graph (0, 0)][DBLP]
   AAAI, 2005, pp:1012-1017 [Conf]
   
3. Rémi Munos
   Policy gradient in continuous time. [Citation Graph (0, 0)][DBLP]
   CAP, 2005, pp:201-216 [Conf]
   
4. András Antos, Csaba Szepesvári, Rémi Munos
   Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path. [Citation Graph (0, 0)][DBLP]
   COLT, 2006, pp:574-588 [Conf]
   
5. Rémi Munos
   Finite-Element Methods with Local Triangulation Refinement for Continuous Reimforcement Learning Problems. [Citation Graph (0, 0)][DBLP]
   ECML, 1997, pp:170-182 [Conf]
   
6. Rémi Munos
   A General Convergence Method for Reinforcement Learning in the Continuous Case. [Citation Graph (0, 0)][DBLP]
   ECML, 1998, pp:394-405 [Conf]
   
7. Rémi Munos
   Error Bounds for Approximate Policy Iteration. [Citation Graph (0, 0)][DBLP]
   ICML, 2003, pp:560-567 [Conf]
   
8. Rémi Munos
   A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   ICML, 1996, pp:337-345 [Conf]
   
9. Rémi Munos, Andrew W. Moore
   Rates of Convergence for Variable Resolution Schemes in Optimal Control. [Citation Graph (0, 0)][DBLP]
   ICML, 2000, pp:647-654 [Conf]
   
10. Csaba Szepesvári, Rémi Munos
    Finite time bounds for sampling based fitted value iteration. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:880-887 [Conf]
    
11. Rémi Munos
    A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:826-831 [Conf]
    
12. Rémi Munos, Andrew W. Moore
    Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1348-1355 [Conf]
    
13. Rémi Munos
    Efficient Resources Allocation for Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1571-1578 [Conf]
    
14. Rémi Munos, Paul Bourgine
    Reinforcement Learning for Continuous Stochastic Control Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
    
15. Rémi Munos, Andrew W. Moore
    Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1024-1030 [Conf]
    
16. Rémi Munos
    Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:413-427 [Journal]
    
17. Rémi Munos
    Policy Gradient in Continuous Time. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:771-791 [Journal]
    
18. Rémi Munos
    A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:40, n:3, pp:265-299 [Journal]
    
19. Rémi Munos, Andrew W. Moore
    Variable Resolution Discretization in Optimal Control. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:291-323 [Journal]
    
20. Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári
    Tuning Bandit Algorithms in Stochastic Environments. [Citation Graph (0, 0)][DBLP]
    ALT, 2007, pp:150-165 [Conf]
    
21. Pierre-Arnaud Coquelin, Rémi Munos
    Bandit Algorithms for Tree Search [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
    
22. 
    Pure Exploration in Multi-armed Bandits Problems. [Citation Graph (, )][DBLP]
    
    
23. 
    Adaptive play in Texas Hold'em Poker. [Citation Graph (, )][DBLP]
    
    
24. 
    Workshop summary: On-line learning with limited feedback. [Citation Graph (, )][DBLP]
    
    
25. 
    Analysis of a Classification-based Policy Iteration Algorithm. [Citation Graph (, )][DBLP]
    
    
26. 
    Finite-Sample Analysis of LSTD. [Citation Graph (, )][DBLP]
    
    
27. 
    Fitted Q-iteration in continuous action-space MDPs. [Citation Graph (, )][DBLP]
    
    
28. 
    Algorithms for Infinitely Many-Armed Bandits. [Citation Graph (, )][DBLP]
    
    
29. 
    Particle Filter-based Policy Gradient in POMDPs. [Citation Graph (, )][DBLP]
    
    
30. 
    Online Optimization in X-Armed Bandits. [Citation Graph (, )][DBLP]
    
    
31. 
    Online Learning in Adversarial Lipschitz Environments. [Citation Graph (, )][DBLP]
    
    
32. 
    Optimistic Planning of Deterministic Systems. [Citation Graph (, )][DBLP]
    
    
33. 
    Pure Exploration for Multi-Armed Bandit Problems [Citation Graph (, )][DBLP]
    
    
34. 
    X-Armed Bandits [Citation Graph (, )][DBLP]