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Deep RL

3,886 papers

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Papers

Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
Value Pursuit Iteration NIPS 2012
Sketch-Based Linear Value Function Approximation NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012
Multi-objective Monte-Carlo Tree Search ACML 2012
Contextual Bandit Learning with Predictable Rewards AISTATS 2012
Optimistic planning for Markov decision processes AISTATS 2012
Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 2012
Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning RSS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012
Action-Gap Phenomenon in Reinforcement Learning NIPS 2011
Policy Gradient Coagent Networks NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Analysis and Improvement of Policy Gradient Estimation NIPS 2011
Learning to Agglomerate Superpixel Hierarchies NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
A Reinforcement Learning Theory for Homeostatic Regulation NIPS 2011
Speedy Q-Learning NIPS 2011
Reinforcement Learning using Kernel-Based Stochastic Factorization NIPS 2011