deep q-learning

Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications L4DC 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025 Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do ICLR 2025 Efficient SQA from Long Audio Contexts: A Policy-driven Approach Interspeech 2024 Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning NeurIPS 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 Temporal-Difference Learning Using Distributed Error Signals NeurIPS 2024 A Machine with Short-Term, Episodic, and Semantic Memory Systems AAAI 2023 Double Gumbel Q-Learning NeurIPS 2023 Neuro-Symbolic Class Expression Learning IJCAI 2023 On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization ICML 2023 Reinforcement Causal Structure Learning on Order Graph AAAI 2023 Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NeurIPS 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023 Task and Model Agnostic Adversarial Attack on Graph Neural Networks AAAI 2023 Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022 Robust Multi-Objective Reinforcement Learning with Dynamic Preferences ACML 2022 Topological Experience Replay ICLR 2022 Training Transition Policies via Distribution Matching for Complex Tasks ICLR 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions AAAI 2021 Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls JMLR 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation NeurIPS 2021