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Policy Learning

2068 directly classified papers

Papers per year

Papers

Generalization and Exploration via Randomized Value Functions ICML 2016
Model-Free Imitation Learning with Policy Optimization ICML 2016
Near Optimal Behavior via Approximate State Abstraction ICML 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret NIPS 2016
Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016
Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015
Grounding English Commands to Reward Functions RSS 2015
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015
Learning Continuous Control Policies by Stochastic Value Gradients NIPS 2015
Sample Complexity Bounds for Iterative Stochastic Policy Optimization NIPS 2015
Direct Loss Minimization Inverse Optimal Control RSS 2015
Sample Efficient Path Integral Control under Uncertainty NIPS 2015
Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015
Inverse Reinforcement Learning with Locally Consistent Reward Functions NIPS 2015
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NIPS 2015
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015
High Confidence Policy Improvement ICML 2015
A Comprehensive Survey on Safe Reinforcement Learning JMLR 2015
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Policy Gradient for Coherent Risk Measures NIPS 2015
Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015
Learning to Track: Online Multi-Object Tracking by Decision Making ICCV 2015
Trust Region Policy Optimization ICML 2015