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Model-based Reinforcement Learning

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Showing 251–300 of 708 papers

TitleStatusHype
Curious iLQR: Resolving Uncertainty in Model-based RL—0
Relational Object-Centric Actor-Critic—0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models—0
Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning—0
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning—0
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing—0
Gradient-Aware Model-based Policy Search—0
Goal-Space Planning with Subgoal Models—0
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems—0
Counterfactual Regularization for Model-Based Reinforcement Learning—0
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar—0
A Model-Based Reinforcement Learning Approach for PID Design—0
GLAM: Global-Local Variation Awareness in Mamba-based World Model—0
Generative Temporal Models with Spatial Memory for Partially Observed Environments—0
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking—0
GEM: Group Enhanced Model for Learning Dynamical Control Systems—0
Gaze Into the Abyss -- Planning to Seek Entropy When Reward is Scarce—0
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL—0
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous—0
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task—0
A Contraction Approach to Model-based Reinforcement Learning—0
Fully Decentralized Model-based Policy Optimization with Networked Agents—0
From Pixels to Torques: Policy Learning with Deep Dynamical Models—0
Frequency-based Search-control in Dyna—0
Free Will Belief as a consequence of Model-based Reinforcement Learning—0
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach—0
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning—0
Fostering Event Compression using Gated Surprise—0
Control-Aware Representations for Model-based Reinforcement Learning—0
FOSP: Fine-tuning Offline Safe Policy through World Models—0
Contrastive Value Learning: Implicit Models for Simple Offline RL—0
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning—0
Flexible and Efficient Long-Range Planning Through Curious Exploration—0
Feedback-Based Tree Search for Reinforcement Learning—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Contrastive Unsupervised Learning of World Model with Invariant Causal Features—0
Fast Model Identification via Physics Engines for Data-Efficient Policy Search—0
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning—0
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration—0
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation—0
A Survey on Offline Model-Based Reinforcement Learning—0
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation—0
Adapting User Interfaces with Model-based Reinforcement Learning—0
Facing Off World Model Backbones: RNNs, Transformers, and S4—0
Extracting Strong Policies for Robotics Tasks from zero-order trajectory optimizers—0
A Survey on Model-based Reinforcement Learning—0
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving—0
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning—0
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems—0
Exploration in Model-based Reinforcement Learning with Randomized Reward—0
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