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Policy Learning

2068 directly classified papers

Papers per year

Papers

Deterministic Policy Gradient Algorithms ICML 2014
Time-Regularized Interrupting Options (TRIO) ICML 2014
Linear Programming for Large-Scale Markov Decision Problems ICML 2014
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Efficient Exploration and Value Function Generalization in Deterministic Systems NIPS 2013
Learning from Limited Demonstrations NIPS 2013
Safe Policy Iteration ICML 2013
Guided Policy Search ICML 2013
Learning an Internal Dynamics Model from Control Demonstration ICML 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Probabilistic Movement Primitives NIPS 2013
Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013
Temporal Difference Methods for the Variance of the Reward To Go ICML 2013
Average Reward Optimization Objective In Partially Observable Domains ICML 2013
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
Q-learning for history-based reinforcement learning ACML 2013
ABC Reinforcement Learning ICML 2013
Performance Bounds for λ Policy Iteration and Application to the Game of Tetris JMLR 2013
Variational Policy Search via Trajectory Optimization NIPS 2013
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NIPS 2013
Online learning in episodic Markovian decision processes by relative entropy policy search NIPS 2013
(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013