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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

Autonomous Exploration For Navigating In MDPs COLT 2012
The Best of Both Worlds: Stochastic and Adversarial Bandits COLT 2012
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012
Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012
Action-Gap Phenomenon in Reinforcement Learning NIPS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Learning to Agglomerate Superpixel Hierarchies NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
A Reinforcement Learning Theory for Homeostatic Regulation NIPS 2011
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
Environmental statistics and the trade-off between model-based and TD learning in humans NIPS 2011
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Transfer from Multiple MDPs NIPS 2011
Dynamic Policy Programming with Function Approximation AISTATS 2011
Contextual Bandits with Linear Payoff Functions AISTATS 2011