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Deep RL

3861 directly classified papers

Papers per year

Papers

Algorithms for CVaR Optimization in MDPs NIPS 2014
Quasi Newton Temporal Difference Learning ACML 2014
Reinforcement learning with value advice ACML 2014
Recurrent Models of Visual Attention NIPS 2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NIPS 2014
True Online TD(lambda) ICML 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014
Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
Optimistic Planning in Markov Decision Processes Using a Generative Model NIPS 2014
Projected Natural Actor-Critic NIPS 2013
Better Rates for Any Adversarial Deterministic MDP ICML 2013
Bayesian Learning of Recursively Factored Environments ICML 2013
Online Feature Selection for Model-based Reinforcement Learning ICML 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Efficient Exploration and Value Function Generalization in Deterministic Systems NIPS 2013
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013
Convergence of Monte Carlo Tree Search in Simultaneous Move Games NIPS 2013
Reinforcement Learning in Robust Markov Decision Processes NIPS 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NIPS 2013