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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
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Papers (including subtopics)

Online learning in episodic Markovian decision processes by relative entropy policy search NIPS 2013
(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NIPS 2013
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NIPS 2013
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NIPS 2013
Variational Planning for Graph-based MDPs 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
Efficient Exploration and Value Function Generalization in Deterministic Systems NIPS 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NIPS 2013
Projected Natural Actor-Critic NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Probabilistic Movement Primitives NIPS 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Learning from Limited Demonstrations NIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NIPS 2013
Q-learning for history-based reinforcement learning ACML 2013
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects CVPR 2013