Skip to content
conftrace_

deep q-network

72 papers

DQN

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