Methods

Deterministic Policy Gradient Algorithms ICML 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Model-Based Relational RL When Object Existence is Partially Observable ICML 2014 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 Online Stochastic Optimization under Correlated Bandit Feedback ICML 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014 Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014 Probabilistic Differential Dynamic Programming NeurIPS 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Quasi Newton Temporal Difference Learning ACML 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Recurrent Models of Visual Attention NeurIPS 2014