Methods

Hierarchical Relative Entropy Policy Search AISTATS 2012 Imitation Learning by Coaching NeurIPS 2012 Integrating a Partial Model into Model Free Reinforcement Learning JMLR 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 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions 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 The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012 Timely Object Recognition NeurIPS 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012