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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Abstraction Selection in Model-based Reinforcement Learning ICML 2015
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Trust Region Policy Optimization ICML 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
Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015
Direct Loss Minimization Inverse Optimal Control RSS 2015
Grounding English Commands to Reward Functions RSS 2015
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015
Shared Autonomy via Hindsight Optimization RSS 2015
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Universal Option Models NIPS 2014
Probabilistic Differential Dynamic Programming NIPS 2014
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NIPS 2014
Tracking Adversarial Targets ICML 2014
Deterministic Policy Gradient Algorithms ICML 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
Sparse Reinforcement Learning via Convex Optimization ICML 2014
Linear Programming for Large-Scale Markov Decision Problems ICML 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014