world model

Reader: Model-based language-instructed reinforcement learning EMNLP 2023 Reasoning with Language Model is Planning with World Model EMNLP 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023 RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023 SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models ICLR 2023 STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning NeurIPS 2023 Structured World Models from Human Videos RSS 2023 Task-aware world model learning with meta weighting via bi-level optimization NeurIPS 2023 Thinker: Learning to Plan and Act NeurIPS 2023 Transformer-based World Models Are Happy With 100k Interactions ICLR 2023 Transformers are Sample-Efficient World Models ICLR 2023 Vision Language Navigation with Knowledge-driven Environmental Dreamer IJCAI 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 World Models for Math Story Problems ACL 2023 BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Constrained Contrastive Reinforcement Learning ACML 2022 Continual Predictive Learning From Videos CVPR 2022 DayDreamer: World Models for Physical Robot Learning CoRL 2022 Deep Hierarchical Planning from Pixels NeurIPS 2022 Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022 DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations ICML 2022 Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models NeurIPS 2022 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Learning Robust Dynamics through Variational Sparse Gating NeurIPS 2022 Learning State Representations via Retracing in Reinforcement Learning ICLR 2022