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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Monte Carlo Sampling for Regret Minimization in Extensive Games NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
A computational model of hippocampal function in trace conditioning NIPS 2008
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008
Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
Regularized Policy Iteration NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Multi-resolution Exploration in Continuous Spaces NIPS 2008
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
Skill Characterization Based on Betweenness NIPS 2008
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NIPS 2008
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008