Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Deep Learning
›
Learning Types
›
Model-Based RL
15 directly classified papers
Papers per year
2015: 1
2017: 1
2018: 1
2020: 2
2021: 1
2022: 2
2023: 2
2024: 3
2025: 2
Papers
Differentiable Information Enhanced Model-Based Reinforcement Learning
AAAI 2025
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios
AAAI 2025
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NIPS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
NIPS 2024
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
AAAI 2024
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
NIPS 2023
Model-Based Offline Reinforcement Learning with Local Misspecification
AAAI 2023
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
NIPS 2022
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
AAAI 2022
NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces
CVPR 2021
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Model Inversion Networks for Model-Based Optimization
NIPS 2020
Object-Oriented Dynamics Predictor
NIPS 2018
Imagination-Augmented Agents for Deep Reinforcement Learning
NIPS 2017
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
NIPS 2015
<
1
>