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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Double Q-learning NIPS 2010
Bootstrapping Apprenticeship Learning NIPS 2010
Monte-Carlo Planning in Large POMDPs NIPS 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Multi-resolution Exploration in Continuous Spaces NIPS 2008
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NIPS 2008
Temporal Difference Updating without a Learning Rate NIPS 2007
Scan Strategies for Meteorological Radars NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
Natural Actor-Critic for Road Traffic Optimisation NIPS 2006