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Model-based Reinforcement Learning

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TitleStatusHype
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation—0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
Dynamic Programming-based Approximate Optimal Control for Model-Based Reinforcement Learning—0
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games—0
Learning to Plan via Deep Optimistic Value Exploration—0
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming—0
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing—0
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning—0
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction—0
Bregman Centroid Guided Cross-Entropy Method—0
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model—0
An introduction to reinforcement learning for neuroscience—0
AdaWM: Adaptive World Model based Planning for Autonomous Driving—0
Learning to Play Atari in a World of Tokens—0
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation—0
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning—0
Active Exploration for Robotic Manipulation—0
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting—0
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI—0
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies—0
Learning Task Informed Abstractions—0
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces—0
Discriminator Augmented Model-Based Reinforcement Learning—0
A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies—0
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems—0
A New View on Planning in Online Reinforcement Learning—0
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality—0
Differentially Private Deep Model-Based Reinforcement Learning—0
Beware of Instantaneous Dependence in Reinforcement Learning—0
Learning State Representations via Temporal Cycle-Consistency Constraint in Model-Based Reinforcement Learning—0
Learning and Querying Fast Generative Models for Reinforcement Learning—0
Differentiable Information Enhanced Model-Based Reinforcement Learning—0
Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning—0
Learning Stabilizable Dynamical Systems via Control Contraction Metrics—0
Detecting and Adapting to Novelty in Games—0
Latent Variable Representation for Reinforcement Learning—0
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games—0
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning—0
LanGWM: Language Grounded World Model—0
Learning by shaking: Computing policy gradients by physical forward-propagation—0
Learning Control from Raw Position Measurements—0
Better Optimism By Bayes: Adaptive Planning with Rich Models—0
Digital Twin Calibration with Model-Based Reinforcement Learning—0
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL—0
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