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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Regularized Off-Policy TD-Learning NIPS 2012
Symbolic Dynamic Programming for Continuous State and Observation POMDPs NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
Learned Prioritization for Trading Off Accuracy and Speed NIPS 2012
Hierarchical Optimistic Region Selection driven by Curiosity NIPS 2012
Trajectory-Based Short-Sighted Probabilistic Planning NIPS 2012
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NIPS 2012
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NIPS 2012
Value Pursuit Iteration NIPS 2012
Sketch-Based Linear Value Function Approximation NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012
A Stochastic Bandit Algorithm for Scratch Games ACML 2012
Contextual Bandit Learning with Predictable Rewards AISTATS 2012
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012
On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012