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Policy Learning

2068 directly classified papers

Papers per year

Papers

Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NIPS 2008
Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008
MDPs with Non-Deterministic Policies NIPS 2008
Biasing Approximate Dynamic Programming with a Lower Discount Factor NIPS 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
Fitted Q-iteration by Advantage Weighted Regression 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
Particle Filter-based Policy Gradient in POMDPs 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
Incremental Natural Actor-Critic Algorithms NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Fitted Q-iteration in continuous action-space MDPs NIPS 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Random Sampling of States in Dynamic Programming NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NIPS 2007
Hierarchical Average Reward Reinforcement Learning JMLR 2007
Learning Operational Space Control RSS 2006