Model-Based RL

Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025 AdaWM: Adaptive World Model based Planning for Autonomous Driving ICLR 2025 Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025 Diffusion Predictive Control with Constraints L4DC 2025 Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds ICLR 2025 Amortized Network Intervention to Steer the Excitatory Point Processes ICLR 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 Efficient Dynamics Modeling in Interactive Environments with Koopman Theory ICLR 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NeurIPS 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NeurIPS 2024 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Boosting Learning for LDPC Codes to Improve the Error-Floor Performance NeurIPS 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023 Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ICLR 2023 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning NeurIPS 2022 NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces CVPR 2021 Model Inversion Networks for Model-Based Optimization NeurIPS 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 Object-Oriented Dynamics Predictor NeurIPS 2018 Imagination-Augmented Agents for Deep Reinforcement Learning NeurIPS 2017 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015