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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Information-based learning by agents in unbounded state spaces NIPS 2014
Design Principles of the Hippocampal Cognitive Map NIPS 2014
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014
Algorithms for CVaR Optimization in MDPs NIPS 2014
Weighted importance sampling for off-policy learning with linear function approximation NIPS 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 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
Reinforcement Learning in Robust Markov Decision Processes NIPS 2013
(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
High-Dimensional Gaussian Process Bandits NIPS 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Projected Natural Actor-Critic NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013