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Deep RL

3,886 papers

Papers per year

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Papers

A POMDP Extension with Belief-dependent Rewards NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Online Markov Decision Processes under Bandit Feedback NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
LSTD with Random Projections NIPS 2010
Learning from Logged Implicit Exploration Data NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Variational methods for Reinforcement Learning AISTATS 2010
Learning Policy Improvements with Path Integrals AISTATS 2010
A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010
Variable Impedance Control - A Reinforcement Learning Approach RSS 2010
Bootstrapping from Game Tree Search NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
The Infinite Partially Observable Markov Decision Process NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Biasing Approximate Dynamic Programming with a Lower Discount Factor NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008