Reinforcement Learning

Neural Attention for Learning to Rank Questions in Community Question Answering COLING 2016 Reinforcement Learning for Visual Object Detection CVPR 2016 Reward Augmented Maximum Likelihood for Neural Structured Prediction NeurIPS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014 Deterministic Policy Gradient Algorithms ICML 2014 Recurrent Models of Visual Attention NeurIPS 2014 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Bootstrapping from Game Tree Search NeurIPS 2009 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 A Scalable Machine Learning Approach to Go NeurIPS 2006