Deep RL

Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Bayes-Adaptive POMDPs NeurIPS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Receding Horizon Differential Dynamic Programming NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Stable Dual Dynamic Programming NeurIPS 2007 Temporal Difference Updating without a Learning Rate NeurIPS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Evolutionary Function Approximation for Reinforcement Learning JMLR 2006 iLSTD: Eligibility Traces and Convergence Analysis NeurIPS 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 Natural Actor-Critic for Road Traffic Optimisation NeurIPS 2006 Policy Gradient in Continuous Time JMLR 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 A Generalization Error for Q-Learning JMLR 2005