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Reinforcement Learning

1,328 papers

Papers per year

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Papers

Deep Exploration via Bootstrapped DQN NIPS 2016
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning NIPS 2016
Neural Attention for Learning to Rank Questions in Community Question Answering COLING 2016
End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016
Reinforcement Learning for Visual Object Detection CVPR 2016
Learning Simple Algorithms from Examples ICML 2016
Learning Continuous Control Policies by Stochastic Value Gradients NIPS 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NIPS 2015
Recurrent Models of Visual Attention NIPS 2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NIPS 2014
Deterministic Policy Gradient Algorithms ICML 2014
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NIPS 2012
Learned Prioritization for Trading Off Accuracy and Speed NIPS 2012
Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Bootstrapping from Game Tree Search NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NIPS 2008
Regularized Policy Iteration NIPS 2008