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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Monte-Carlo Tree Search for Constrained POMDPs NIPS 2018
Single-Agent Policy Tree Search With Guarantees NIPS 2018
On Learning Intrinsic Rewards for Policy Gradient Methods NIPS 2018
A Lyapunov-based Approach to Safe Reinforcement Learning NIPS 2018
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NIPS 2018
An Off-policy Policy Gradient Theorem Using Emphatic Weightings NIPS 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NIPS 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NIPS 2018
Q-learning with Nearest Neighbors NIPS 2018
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning NIPS 2018
Dual Policy Iteration NIPS 2018
Total stochastic gradient algorithms and applications in reinforcement learning NIPS 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NIPS 2018
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension ACL 2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning ACL 2018
BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018
Deep Reinforcement Learning of Region Proposal Networks for Object Detection CVPR 2018
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018
Practical Block-Wise Neural Network Architecture Generation CVPR 2018
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NIPS 2017
MUSE: Modularizing Unsupervised Sense Embeddings EMNLP 2017
Sentence Simplification with Deep Reinforcement Learning EMNLP 2017
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning EMNLP 2017
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017
A Reinforcement Learning Approach to the View Planning Problem CVPR 2017