Deep RL

Delayed Reinforcement Learning by Imitation ICML 2022 Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022 Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract) IJCAI 2022 Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022 Deterministic policy gradient: Convergence analysis UAI 2022 DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation CoRL 2022 D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions CVPR 2022 DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NeurIPS 2022 Direct Advantage Estimation NeurIPS 2022 Direct Behavior Specification via Constrained Reinforcement Learning ICML 2022 Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching ICLR 2022 Discovered Policy Optimisation NeurIPS 2022 Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes AAAI 2022 Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning ICML 2022 Distributionally Robust Q-Learning ICML 2022 Distributional Reinforcement Learning with Monotonic Splines ICLR 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NeurIPS 2022 Divergence-Regularized Multi-Agent Actor-Critic ICML 2022 DNA: Proximal Policy Optimization with a Dual Network Architecture NeurIPS 2022 DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022 Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks IJCAI 2022 Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning NeurIPS 2022 Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022 DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning NeurIPS 2022