Co-occurring keywords · papers mentioning both
Papers
Optimizing Energy Production Using Policy Search and Predictive State Representations
NeurIPS 2014
Probabilistic Differential Dynamic Programming
NeurIPS 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning
JMLR 2014
Average Reward Optimization Objective In Partially Observable Domains
ICML 2013
Guided Policy Search
ICML 2013
Online learning in episodic Markovian decision processes by relative entropy policy search
NeurIPS 2013
Optimizing Instructional Policies
NeurIPS 2013
Projected Natural Actor-Critic
NeurIPS 2013
Q-learning for history-based reinforcement learning
ACML 2013
Variational Policy Search via Trajectory Optimization
NeurIPS 2013
Algorithms for Learning Markov Field Policies
NeurIPS 2012
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
NeurIPS 2012
Variational Bayesian Optimization for Runtime Risk-Sensitive Control
RSS 2012
Weighted Likelihood Policy Search with Model Selection
NeurIPS 2012
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
NeurIPS 2010
Policy search via the signed derivative
RSS 2009
Policy Search for Motor Primitives in Robotics
NeurIPS 2008
Bayes-Adaptive POMDPs
NeurIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC
NeurIPS 2007
Learning Operational Space Control
RSS 2006
Sample Complexity of Policy Search with Known Dynamics
NeurIPS 2006
Policy Search using Paired Comparisons
JMLR 2002