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Search results for model based reinforcement learning

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28 search results found

Di Engine ⭐ 2,681

OpenDILab Decision AI Engine

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Mbrl Lib ⭐ 821

Library for Model Based RL

Awesome Model Based Rl ⭐ 620

A curated list of awesome model based RL resources (continually updated)

Di Engine Docs ⭐ 234

DI-engine docs (Chinese and English)

My_bibliography_for_research_on_autonomous_driving ⭐ 175

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Reinforcement Learning Papers ⭐ 159

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

Handful Of Trials Pytorch ⭐ 156

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Pianofingering.jl ⭐ 107

(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.

Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control ⭐ 76

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Baconian Project ⭐ 68

Model-based Reinforcement Learning Framework

Latentplan ⭐ 60

Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.

Awesome Model Based Reinforcement Learning ⭐ 57

A curated list of awesome Model-based reinforcement learning resources

Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).

Racing_dreamer ⭐ 50

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Model-based reinforcement learning in TensorFlow

Deep Active Inference Mc ⭐ 28

Deep active inference agents using Monte-Carlo methods

Adaptable tools to make reinforcement learning and evolutionary computation algorithms.

Him Agent ⭐ 27

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.

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Code for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023

A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.

LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization

Model Based Rl ⭐ 13

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。

Task Driven Hybrid Reduction ⭐ 11

We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.

Learning Robust Dynamics Through Variational Sparse Gating

Asynch Mb ⭐ 6

Asynchronous methods for model-based reinforcement learning.

Official implementation of L4DC 2023 paper Transition Occupancy Matching -Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

Related Searches

Python Model Based Reinforcement Learning (18)

Model Based Reinforcement Learning Offline Rl (3)

Pytorch Model Based Reinforcement Learning (3)

Jax Model Based Reinforcement Learning (3)

Planning Model Based Reinforcement Learning (3)

Jupyter Notebook Model Based Reinforcement Learning (3)

Model Based Reinforcement Learning World Models (3)

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