deep q-learning

ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ICLR 2020 Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020 Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data AAAI 2020 DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019 Diagnosing Bottlenecks in Deep Q-learning Algorithms ICML 2019 Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition ICCV 2019 Information-Directed Exploration for Deep Reinforcement Learning ICLR 2019 Making Deep Q-learning methods robust to time discretization ICML 2019 Revisiting the Softmax Bellman Operator: New Benefits and New Perspective ICML 2019 Target-Based Temporal-Difference Learning ICML 2019 Towards Better Interpretability in Deep Q-Networks AAAI 2019 Addressing Function Approximation Error in Actor-Critic Methods ICML 2018 Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning EMNLP 2018 Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning CVPR 2018 Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator Interspeech 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 2018 Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Learning to Communicate with Deep Multi-Agent Reinforcement Learning NeurIPS 2016