model-based-reinforcement-learning topic
TorchMPC
Pytorch implementation of Model Predictive Control with learned models
racing_dreamer
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
world-model-as-a-graph
Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
bellman
Model-based reinforcement learning in TensorFlow
deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
nn-mpc
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
la-mbda
LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
Recall2Imagine
Recall 2 Imagine, a World Model with superhuman memory. Oral (1.2%) @ ICLR 2024
him-agent
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, an...
Model-Based-RL
这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。