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Policy Learning

2068 directly classified papers

Papers per year

Papers

A POMDP Extension with Belief-dependent Rewards NIPS 2010
Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Bootstrapping Apprenticeship Learning NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NIPS 2010
Variable Impedance Control - A Reinforcement Learning Approach RSS 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010
Distributionally Robust Markov Decision Processes NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Bootstrapping from Game Tree Search NIPS 2009
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009
Code-specific policy gradient rules for spiking neurons NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Policy search via the signed derivative RSS 2009