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Model-based Reinforcement Learning

Papers

Showing 451–500 of 708 papers

TitleStatusHype
TransDreamer: Reinforcement Learning with Transformer World Models—0
Transferable Force-Torque Dynamics Model for Peg-in-hole Task—0
Transferring Expectations in Model-based Reinforcement Learning—0
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery—0
Trust the Model When It Is Confident: Masked Model-based Actor-Critic—0
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems—0
Uncertainty-aware Contact-safe Model-based Reinforcement Learning—0
Uncertainty-aware Model-based Policy Optimization—0
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving—0
A Look at Value-Based Decision-Time vs. Background Planning Methods Across Different Settings—0
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization—0
Understanding the Asymptotic Performance of Model-Based RL Methods—0
Understanding the effect of varying amounts of replay per step—0
Unsupervised Exploration with Deep Model-Based Reinforcement Learning—0
Using cognitive psychology to understand GPT-3—0
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration—0
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs—0
Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning—0
Variational Inference for Model-Free and Model-Based Reinforcement Learning—0
Variational Inference MPC for Bayesian Model-based Reinforcement Learning—0
Variational Model-based Policy Optimization—0
Variational Predictive Routing with Nested Subjective Timescales—0
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control—0
Weighted model estimation for offline model-based reinforcement learning—0
What model does MuZero learn?—0
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination—0
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter—0
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference—0
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks—0
Multi-task learning with deep model based reinforcement learning—0
Accelerating Goal-Directed Reinforcement Learning by Model Characterization—0
Accelerating Model-Based Reinforcement Learning with State-Space World Models—0
Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization—0
A Contraction Approach to Model-based Reinforcement Learning—0
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning—0
Active Exploration for Robotic Manipulation—0
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation—0
Active Learning for Control-Oriented Identification of Nonlinear Systems—0
Active Learning for Nonlinear System Identification with Guarantees—0
Adapting User Interfaces with Model-based Reinforcement Learning—0
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation—0
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach—0
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL—0
A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies—0
AdaWM: Adaptive World Model based Planning for Autonomous Driving—0
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games—0
A Game Theoretic Framework for Model Based Reinforcement Learning—0
A Game Theoretic Perspective on Model-Based Reinforcement Learning—0
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation—0
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task—0
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