OpenDILab Decision AI Engine
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Updated
Jun 7, 2024 - Python
OpenDILab Decision AI Engine
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Library for Model Based RL
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
DI-engine docs (Chinese and English)
A curated list of awesome model based RL resources (continually updated)
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
A curated list of awesome Model-based reinforcement learning resources
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Deep active inference agents using Monte-Carlo methods
LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
Model-based Reinforcement Learning Framework
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
An implementation of MuZero in JAX.
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Model-based reinforcement learning in TensorFlow
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