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Deep RL

3861 directly classified papers

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Papers

(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NIPS 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NIPS 2013
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NIPS 2013
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
Timely Object Recognition NIPS 2012
Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning RSS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Inverse Reinforcement Learning through Structured Classification NIPS 2012
Neurally Plausible Reinforcement Learning of Working Memory Tasks NIPS 2012
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Contextual Bandit Learning with Predictable Rewards AISTATS 2012
Optimistic planning for Markov decision processes AISTATS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Symbolic Dynamic Programming for Continuous State and Observation POMDPs NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Multi-objective Monte-Carlo Tree Search ACML 2012