Reinforcement Learning

A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 A Smoothed Approximate Linear Program NeurIPS 2009 Bootstrapping from Game Tree Search NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Complexity of Decentralized Control: Special Cases NeurIPS 2009 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 Cooperative manipulation and transportation with aerial robots RSS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009 Policy search via the signed derivative RSS 2009 Provably Efficient Learning with Typed Parametric Models JMLR 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009 Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008 A computational model of hippocampal function in trace conditioning NeurIPS 2008 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 A Numerically Robust LCP Solver for Simulating Articulated Rigid Bodies in Contact RSS 2008