Deep RL
4,525 papers
Papers per year
1
9
14
15
9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
'5
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Papers
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
AAAI 2020
Working Memory Graphs
ICML 2020
Zap Q-Learning With Nonlinear Function Approximation
NeurIPS 2020
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
ICML 2019
A Bayesian Approach to Robust Reinforcement Learning
UAI 2019
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
NAACL 2019
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
AAAI 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning
AAAI 2019
A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs
ACML 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
CoRL 2019
Action Robust Reinforcement Learning and Applications in Continuous Control
ICML 2019
Active Exploration in Markov Decision Processes
AISTATS 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
ICML 2019
Actor-Critic Instance Segmentation
CVPR 2019
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
CVPR 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
NeurIPS 2019
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification
ACL 2019
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
AAAI 2019
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
AAAI 2019
A Deep Reinforcement Learning Perspective on Internet Congestion Control
ICML 2019
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
IJCAI 2019
Adversarial Active Exploration for Inverse Dynamics Model Learning
CoRL 2019
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
AAAI 2019
A Family of Robust Stochastic Operators for Reinforcement Learning
NeurIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning
NeurIPS 2019