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Deep RL

3,886 papers

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Papers

Dueling Network Architectures for Deep Reinforcement Learning ICML 2016
Control of Memory, Active Perception, and Action in Minecraft ICML 2016
Continuous Deep Q-Learning with Model-based Acceleration ICML 2016
Near Optimal Behavior via Approximate State Abstraction ICML 2016
Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016
Interactive Spoken Content Retrieval by Deep Reinforcement Learning INTERSPEECH 2016
Addressing Environment Non-Stationarity by Repeating Q-learning Updates JMLR 2016
Practical Kernel-Based Reinforcement Learning JMLR 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
True Online Temporal-Difference Learning JMLR 2016
Learning Continuous Control Policies by Stochastic Value Gradients NIPS 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NIPS 2015
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 2015
On Convergence of Emphatic Temporal-Difference Learning COLT 2015
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015
Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015
Universal Value Function Approximators ICML 2015
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015
On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015
A Deeper Look at Planning as Learning from Replay ICML 2015
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014
Algorithms for CVaR Optimization in MDPs NIPS 2014
Recurrent Models of Visual Attention NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014