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OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
drl
r2d2
smac
atari
impala
mujoco
python
minigrid
self-play
offline-rl
pytorch-rl
distributed-system
imitation-learning
reinforcement-learning
exploration-exploitation
inverse-reinforcement-learning
multiagent-reinforcement-learning
reinforcement-learning-algorithms
distributed-reinforcement-learning
model-based-reinforcement-learning
Created
2021-07-04
824 commits to main branch, last one a day ago
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Created
2022-02-01
1,690 commits to main branch, last one 10 hours ago
Library for Model Based RL
This repository has been archived
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Created
2020-08-17
313 commits to main branch, last one about a year ago
A curated list of awesome model based RL resources (continually updated)
Created
2021-12-28
43 commits to main branch, last one 21 days ago
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
Created
2020-11-09
27 commits to main branch, last one about a year ago
DI-engine docs (Chinese and English)
Created
2021-07-09
331 commits to main branch, last one 28 days ago
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Created
2019-01-03
32 commits to master branch, last one 5 years ago
15
129
mit
5
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Created
2020-11-15
166 commits to master branch, last one about a year ago
(Experimental, a lot of bugs) Automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.
This repository has been archived
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Created
2023-04-21
20 commits to main branch, last one about a year ago
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
Created
2022-08-23
14 commits to main branch, last one about a year ago
Deep active inference agents using Monte-Carlo methods
Created
2020-06-03
22 commits to master branch, last one 3 years ago
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Created
2021-03-01
149 commits to main branch, last one about a year ago
Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223
Created
2024-05-24
28 commits to main branch, last one a day ago
Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
Created
2021-05-30
7 commits to main branch, last one 3 years ago
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
Created
2024-03-25
2 commits to main branch, last one 6 months ago
Model-based reinforcement learning in TensorFlow
Created
2021-03-15
17 commits to develop branch, last one 3 years ago
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Created
2021-09-08
609 commits to main branch, last one 2 years ago
An implementation of MuZero in JAX.
Created
2022-02-21
11 commits to main branch, last one 2 years ago
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Created
2021-06-06
10 commits to main branch, last one 3 years ago
A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
Created
2021-06-17
144 commits to main branch, last one 2 years ago
Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344
Created
2024-06-04
5 commits to main branch, last one 5 months ago