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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
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Papers (including subtopics)

Fitted Q-iteration in continuous action-space MDPs NIPS 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Hierarchical Average Reward Reinforcement Learning JMLR 2007
Design of a Bio-inspired Dynamical Vertical Climbing Robot RSS 2007
Composition of Vector Fields for Multi-Robot Manipulation via Caging RSS 2007
A Discrete Geometric Optimal Control Framework for Systems with Symmetries RSS 2007
BS-SLAM: Shaping the World RSS 2007
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007
Planning and Control of Meso-scale Manipulation Tasks with Uncertainties RSS 2007
Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007
Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006
Robotic Grasping of Novel Objects NIPS 2006
Learning Nonparametric Models for Probabilistic Imitation NIPS 2006
A Scalable Machine Learning Approach to Go NIPS 2006
Bayesian Policy Gradient Algorithms NIPS 2006
Handling Advertisements of Unknown Quality in Search Advertising NIPS 2006
iLSTD: Eligibility Traces and Convergence Analysis NIPS 2006
Natural Actor-Critic for Road Traffic Optimisation NIPS 2006
An Application of Reinforcement Learning to Aerobatic Helicopter Flight NIPS 2006
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NIPS 2006
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NIPS 2006
Linearly-solvable Markov decision problems NIPS 2006
Sample Complexity of Policy Search with Known Dynamics NIPS 2006
Boosting Structured Prediction for Imitation Learning NIPS 2006