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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
Exponential Family Predictive Representations of State NIPS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
A Game-Theoretic Approach to Apprenticeship Learning NIPS 2007
Fitted Q-iteration in continuous action-space MDPs NIPS 2007
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007
What makes some POMDP problems easy to approximate? NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
Temporal Difference Updating without a Learning Rate NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Theoretical Analysis of Heuristic Search Methods for Online POMDPs NIPS 2007
Hippocampal Contributions to Control: The Third Way NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Scan Strategies for Meteorological Radars NIPS 2007
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006
Sample Complexity of Policy Search with Known Dynamics NIPS 2006
Learning Operational Space Control RSS 2006
iLSTD: Eligibility Traces and Convergence Analysis NIPS 2006
Natural Actor-Critic for Road Traffic Optimisation NIPS 2006