Reinforcement Learning
3,118 papers
Papers per year
1
11
18
24
14
22
28
34
28
24
17
23
79
183
257
291
347
339
336
495
464
83
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Papers
What can I do here? A Theory of Affordances in Reinforcement Learning
ICML 2020
What Can Learned Intrinsic Rewards Capture?
ICML 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics
AAAI 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
AAAI 2020
Working Memory Graphs
ICML 2020
A Bayesian Approach to Robust Reinforcement Learning
UAI 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning
AAAI 2019
Adaptive Auxiliary Task Weighting for Reinforcement Learning
NeurIPS 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 Framework for Rebalancing Dockless Bike Sharing Systems
AAAI 2019
A Divergence Minimization Perspective on Imitation Learning Methods
CoRL 2019
A Family of Robust Stochastic Operators for Reinforcement Learning
NeurIPS 2019
A Learnable Safety Measure
CoRL 2019
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
NeurIPS 2019
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
NeurIPS 2019
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education
AAAI 2019
A neurally plausible model learns successor representations in partially observable environments
NeurIPS 2019
A new dog learns old tricks: RL finds classic optimization algorithms
ICLR 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
EMNLP 2019
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension
EMNLP 2019
Approximate Relative Value Learning for Average-reward Continuous State MDPs
UAI 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
NeurIPS 2019
A Survey of Reinforcement Learning Informed by Natural Language
IJCAI 2019
A Tighter Analysis of Randomised Policy Iteration
UAI 2019