← Keywords

model-based planning

51 papers

Explore in graph

Co-occurring keywords

reinforcement learning (4122) model-based reinforcement learning (415) world model (180) motion planning (384) sample efficiency (469) offline reinforcement learning (492) policy optimization (630) automated planning (151) robot manipulation (262) trajectory planning (108)

Papers

IRASim: A Fine-Grained World Model for Robot Manipulation ICCV 2025
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025
DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue EMNLP 2025
Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos RSS 2025
Enhancing Manufacturing with AI-powered Process Design IJCAI 2024
DiffuserLite: Towards Real-time Diffusion Planning NIPS 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NIPS 2024
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning NIPS 2023
Goal-conditioned Offline Planning from Curious Exploration NIPS 2023
Automated Planning for Generating and Simulating Traffic Signal Strategies IJCAI 2023
Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model NIPS 2023
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models CORL 2023
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation NIPS 2022
Model-Based Offline Planning with Trajectory Pruning IJCAI 2022
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification NIPS 2022
“Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs IJCAI 2022
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning NAACL 2022
PDSketch: Integrated Domain Programming, Learning, and Planning NIPS 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021
Deep Residual Reinforcement Learning (Extended Abstract) IJCAI 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains NIPS 2021
Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments AAAI 2021
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning CORL 2021