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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs RSS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011
Monotone multi-armed bandit allocations COLT 2011
Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments COLT 2011
Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011
Dynamic Policy Programming with Function Approximation AISTATS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Learning to Agglomerate Superpixel Hierarchies NIPS 2011
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NIPS 2011
A Reinforcement Learning Theory for Homeostatic Regulation NIPS 2011
Transfer from Multiple MDPs NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Contextual Bandits with Linear Payoff Functions AISTATS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
A POMDP Extension with Belief-dependent Rewards NIPS 2010
Finite-sample Analysis of Bellman Residual Minimization ACML 2010
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NIPS 2010
LSTD with Random Projections NIPS 2010
Online Markov Decision Processes under Bandit Feedback NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010