Deep RL

Finite-time theory for momentum Q-learning UAI 2021 Flexible Option Learning NeurIPS 2021 FontRL: Chinese Font Synthesis via Deep Reinforcement Learning AAAI 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Formal verification of neural networks for safety-critical tasks in deep reinforcement learning UAI 2021 From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021 Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation CoRL 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Gated Spatio-Temporal Attention-Guided Video Deblurring CVPR 2021 Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021 Generalized Proximal Policy Optimization with Sample Reuse NeurIPS 2021 Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning ICLR 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 GMAC: A Distributional Perspective on Actor-Critic Framework ICML 2021 Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds CoRL 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 Going Beyond Linear RL: Sample Efficient Neural Function Approximation NeurIPS 2021 GRAC: Self-Guided and Self-Regularized Actor-Critic CoRL 2021 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction EMNLP 2021 Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity ICLR 2021 Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning ICML 2021