Co-occurring keywords · papers mentioning both
Papers
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
ICML 2022
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning
AAAI 2021
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning
ACML 2021
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
AAAI 2021
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy
EMNLP 2021
Ensemble Bootstrapping for Q-Learning
ICML 2021
GLSearch: Maximum Common Subgraph Detection via Learning to Search
ICML 2021
Interactive Reinforcement Learning for Table Balancing Robot
ACL 2021
MQA: Answering the Question via Robotic Manipulation
RSS 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
AAAI 2021
Prediction and generalisation over directed actions by grid cells
ICLR 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Self-correcting Q-learning
AAAI 2021
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
AAAI 2021
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
L4DC 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)
IJCAI 2020
Inferring DQN structure for high-dimensional continuous control
ICML 2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
EMNLP 2020
Momentum in Reinforcement Learning
AISTATS 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
Interspeech 2020
Reinforced active learning for image segmentation
ICLR 2020
Semi-Markov Reinforcement Learning for Stochastic Resource Collection
IJCAI 2020
A Bayesian Approach to Robust Reinforcement Learning
UAI 2019
Certified Adversarial Robustness for Deep Reinforcement Learning
CoRL 2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
IJCAI 2019