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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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'15
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Papers

Bootstrapping from Game Tree Search NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Policy search via the signed derivative RSS 2009
Biasing Approximate Dynamic Programming with a Lower Discount Factor NIPS 2008
MDPs with Non-Deterministic Policies NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms NIPS 2008
Policy Search for Motor Primitives in Robotics NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
Regularized Policy Iteration NIPS 2008
Multi-resolution Exploration in Continuous Spaces NIPS 2008
A computational model of hippocampal function in trace conditioning NIPS 2008
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NIPS 2008
Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NIPS 2007