Applications

Learning the Variance of the Reward-To-Go JMLR 2016 Learning values across many orders of magnitude NeurIPS 2016 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016 On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016 Representing and Learning Complex Object Interactions RSS 2016 Robust Phase-Space Planning for Agile Legged Locomotion over Various Terrain Topologies RSS 2016 Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms RSS 2016 Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NeurIPS 2016 Shape-Based Compliance in Locomotion RSS 2016 Time and Energy Optimal Path Planning in General Flows RSS 2016 True Online Temporal-Difference Learning JMLR 2016 Unsupervised Learning for Physical Interaction through Video Prediction NeurIPS 2016 Value Iteration Networks NeurIPS 2016 Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well ICML 2016 Action-Conditional Video Prediction using Deep Networks in Atari Games NeurIPS 2015 Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 Dealing with Difficult Instances of Object Rearrangement RSS 2015 Direct Loss Minimization Inverse Optimal Control RSS 2015 Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition RSS 2015 Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping RSS 2015 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015