Co-occurring keywords · papers mentioning both
Papers
Planning with Diffusion for Flexible Behavior Synthesis
ICML 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
NeurIPS 2022
Policy Optimization with Linear Temporal Logic Constraints
NeurIPS 2022
Procedural generalization by planning with self-supervised world models
ICLR 2022
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
NeurIPS 2022
Regret guarantees for model-based reinforcement learning with long-term average constraints
UAI 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
ICML 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
AISTATS 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NeurIPS 2022
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
NeurIPS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
AISTATS 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022
Skill-based Model-based Reinforcement Learning
CoRL 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
NeurIPS 2022
Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning
CoRL 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
ICML 2022
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
NeurIPS 2022
Value Gradient weighted Model-Based Reinforcement Learning
ICLR 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning
NeurIPS 2022
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
NeurIPS 2021
A Contraction Approach to Model-based Reinforcement Learning
AISTATS 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
ICML 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
ICML 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
ICML 2021