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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NIPS 2013
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
High-Dimensional Gaussian Process Bandits NIPS 2013
Efficient Exploration and Value Function Generalization in Deterministic Systems NIPS 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Projected Natural Actor-Critic NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NIPS 2013
Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013
Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013
Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising JMLR 2013
Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013
Timely Object Recognition NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012