Deep RL

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning ICML 2022 Controllable Text Simplification with Deep Reinforcement Learning AACL 2022 Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation AAAI 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022 Convergent and Efficient Deep Q Learning Algorithm ICLR 2022 Cooperative Online Learning in Stochastic and Adversarial MDPs ICML 2022 Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning AAAI 2022 Criticality-Based Advice in Reinforcement Learning (Student Abstract) AAAI 2022 Cross-domain adaptive transfer reinforcement learning based on state-action correspondence UAI 2022 CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer ICML 2022 CUP: Critic-Guided Policy Reuse NeurIPS 2022 Curiosity-Driven Exploration via Latent Bayesian Surprise AAAI 2022 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NeurIPS 2022 Curriculum Reinforcement Learning via Constrained Optimal Transport ICML 2022 d3rlpy: An Offline Deep Reinforcement Learning Library JMLR 2022 DayDreamer: World Models for Physical Robot Learning CoRL 2022 Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NeurIPS 2022 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 Deep Black-Box Reinforcement Learning with Movement Primitives CoRL 2022 Deep Generalized Schrödinger Bridge NeurIPS 2022 Deep Hierarchical Planning from Pixels NeurIPS 2022 Deep Reinforcement Learning for Entity Alignment ACL 2022 Deep Reinforcement Learning for High-Frequency Market Making ACML 2022 Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs AAAI 2022 DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs NeurIPS 2022