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Deep RL

3861 directly classified papers

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Papers

Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NIPS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms NIPS 2008
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
Biasing Approximate Dynamic Programming with a Lower Discount Factor NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008
Multi-resolution Exploration in Continuous Spaces NIPS 2008
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008
Temporal Difference Updating without a Learning Rate NIPS 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Scan Strategies for Meteorological Radars NIPS 2007
Random Sampling of States in Dynamic Programming NIPS 2007
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
Receding Horizon Differential Dynamic Programming NIPS 2007
Fitted Q-iteration in continuous action-space MDPs NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
What makes some POMDP problems easy to approximate? NIPS 2007