A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Updated
Jun 28, 2024 - Python
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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, and thalamus.
Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
OpenDILab Decision AI Engine
DI-engine docs (Chinese and English)
A curated list of awesome model based RL resources (continually updated)
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
Official repo for "iVideoGPT: Interactive VideoGPTs are Scalable World Models", https://arxiv.org/abs/2405.15223
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Official codebase for "Privileged Sensing Scaffolds Reinforcement Learning", contains the Scaffolder algorithm and Sensory Scaffolding Suite.
We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.
PyTorch implementation of Combined Reinforcement Learning via Abstract Representations
Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode
(Experimental, a lot of bugs) Advanced automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.
Implementation of the paper <Model-based Reinforcement Learning for Predictions and Control for Limit Order Books (Wei et al., J.P. Morgan AI Research, 2019)>.
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.
Library for Model Based RL
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
Official implementation of L4DC 2023 paper Transition Occupancy Matching -Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
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