conftrace_

dynamics model

67 papers

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Co-occurring keywords

model-based reinforcement learning (415) offline reinforcement learning (492) sample efficiency (472) reinforcement learning (4352) deep reinforcement learning (903) world model (189) value function (295) policy learning (702) uncertainty quantification (1393) policy optimization (657)

Papers

Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks AAAI 2026
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning AAAI 2025
Imagination-Limited Q-Learning for Offline Reinforcement Learning IJCAI 2025
Action Flow Matching for Lifelong Learning RSS 2025
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving RSS 2025
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing RSS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation NIPS 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NIPS 2024
Physics-Informed Model-Based Reinforcement Learning L4DC 2023
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO RSS 2023
Offline Model-Based Reinforcement Learning for Tokamak Control L4DC 2023
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023
Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023
ELDEN: Exploration via Local Dependencies NIPS 2023
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles L4DC 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023
Dynamic-Resolution Model Learning for Object Pile Manipulation RSS 2023