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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Monte Carlo Sampling for Regret Minimization in Extensive Games NIPS 2009
Code-specific policy gradient rules for spiking neurons NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Solving Stochastic Games NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009
The Infinite Partially Observable Markov Decision Process NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments JMLR 2009
POMDPs for robotic tasks with mixed observability RSS 2009
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Biasing Approximate Dynamic Programming with a Lower Discount Factor NIPS 2008
MDPs with Non-Deterministic Policies NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NIPS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
Skill Characterization Based on Betweenness NIPS 2008