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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)

Unsupervised Learning for Physical Interaction through Video Prediction NIPS 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation NIPS 2016
Generating Long-term Trajectories Using Deep Hierarchical Networks NIPS 2016
A PAC RL Algorithm for Episodic POMDPs AISTATS 2016
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016
Black-Box Policy Search with Probabilistic Programs AISTATS 2016
A Fast and Reliable Policy Improvement Algorithm AISTATS 2016
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016
Reinforcement Learning of POMDPs using Spectral Methods COLT 2016
Recurrent Attention Models for Depth-Based Person Identification CVPR 2016
Reinforcement Learning for Visual Object Detection CVPR 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization ICML 2016
Learning Simple Algorithms from Examples ICML 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016
Smooth Imitation Learning for Online Sequence Prediction ICML 2016
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016
Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016
Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well ICML 2016
Opponent Modeling in Deep Reinforcement Learning ICML 2016
Softened Approximate Policy Iteration for Markov Games ICML 2016
Graying the black box: Understanding DQNs ICML 2016
Asynchronous Methods for Deep Reinforcement Learning ICML 2016
Dueling Network Architectures for Deep Reinforcement Learning ICML 2016