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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments COLT 2011
Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011
Monotone multi-armed bandit allocations COLT 2011
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs RSS 2011
Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011
Double Q-learning NIPS 2010
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NIPS 2010
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010
Reward Design via Online Gradient Ascent NIPS 2010
Distributionally Robust Markov Decision Processes NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NIPS 2010
Bootstrapping Apprenticeship Learning NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
A POMDP Extension with Belief-dependent Rewards NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Online Markov Decision Processes under Bandit Feedback NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
LSTD with Random Projections NIPS 2010
Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010
Finite-sample Analysis of Bellman Residual Minimization ACML 2010