Deep RL

Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Multi-objective Monte-Carlo Tree Search ACML 2012 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012 Non-parametric Approximate Dynamic Programming via the Kernel Method NeurIPS 2012 Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NeurIPS 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Optimistic planning for Markov decision processes AISTATS 2012 Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning RSS 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012 Timely Object Recognition NeurIPS 2012