Reinforcement Learning

Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 BiSpace Planning: Concurrent Multi-Space Exploration RSS 2008 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Dynamic Modeling of Stick Slip Motion in an Untethered Magnetic Micro-Robot RSS 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 High Performance Outdoor Navigation from Overhead Data using Imitation Learning RSS 2008 Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study JMLR 2008 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Near-optimal Regret Bounds for Reinforcement Learning NeurIPS 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008 Particle Filter-based Policy Gradient in POMDPs NeurIPS 2008 Policy Search for Motor Primitives in Robotics NeurIPS 2008 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NeurIPS 2008