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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
419
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Papers

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
A computational model of hippocampal function in trace conditioning NIPS 2008
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008
Goal-directed decision making in prefrontal cortex: a computational framework NIPS 2008
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008
Stable Dual Dynamic Programming NIPS 2007
Scan Strategies for Meteorological Radars NIPS 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Theoretical Analysis of Heuristic Search Methods for Online POMDPs NIPS 2007
Hippocampal Contributions to Control: The Third Way NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Temporal Difference Updating without a Learning Rate NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007