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Model-based Reinforcement Learning

Papers

Showing 501–550 of 708 papers

TitleStatusHype
A Model-Based Reinforcement Learning Approach for PID Design—0
Amortized Network Intervention to Steer the Excitatory Point Processes—0
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning—0
Analog Circuit Design with Dyna-Style Reinforcement Learning—0
An Analysis of Model-Based Reinforcement Learning From Abstracted Observations—0
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games—0
A New View on Planning in Online Reinforcement Learning—0
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies—0
An introduction to reinforcement learning for neuroscience—0
A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning—0
Approximate infinite-horizon predictive control—0
Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning—0
A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations—0
Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties—0
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play—0
A Spiking Neural Network Learning Markov Chain—0
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture—0
A Survey on Model-based Reinforcement Learning—0
A Survey on Offline Model-Based Reinforcement Learning—0
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning—0
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar—0
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing—0
Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning—0
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts—0
Bayesian Linear Regression on Deep Representations—0
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning—0
Belief dynamics extraction—0
Better Optimism By Bayes: Adaptive Planning with Rich Models—0
Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning—0
Beware of Instantaneous Dependence in Reinforcement Learning—0
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems—0
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model—0
Bregman Centroid Guided Cross-Entropy Method—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
Calibrated Value-Aware Model Learning with Stochastic Environment Models—0
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics—0
CoLaNET -- A Spiking Neural Network with Columnar Layered Architecture for Classification—0
Combating the Compounding-Error Problem with a Multi-step Model—0
Combining Off and On-Policy Training in Model-Based Reinforcement Learning—0
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning—0
Approximating Fixpoints of Approximated Functions—0
Concept-modulated model-based offline reinforcement learning for rapid generalization—0
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning—0
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation—0
Contrastive Unsupervised Learning of World Model with Invariant Causal Features—0
Contrastive Value Learning: Implicit Models for Simple Offline RL—0
Control-Aware Representations for Model-based Reinforcement Learning—0
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach—0
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous—0
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