A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Updated
Jun 7, 2024 - Python
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
OpenDILab Decision AI Engine
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
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.
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
A curated list of awesome model based RL resources (continually updated)
A multi-agent deep reinforcement learning model to de-traffic our lives
DI-engine docs (Chinese and English)
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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