PyTorch implementation of DreamerV2 model-based RL algorithm

Last update: Dec 15, 2022

Related tags

Deep Learning pydreamer

Overview

PyDreamer

Reimplementation of DreamerV2 model-based RL algorithm in PyTorch.

The official DreamerV2 implementation can be found here.

Features

...

Running the code

Running locally

Install dependencies

pip3 install -r requirements.txt

Get Atari ROMs

pip3 install atari-py==0.2.9
wget -L -nv http://www.atarimania.com/roms/Roms.rar
apt-get install unrar                                   # brew install unar (Mac)
unrar x Roms.rar                                        # unar -D Roms.rar  (Mac)
unzip ROMS.zip
python3 -m atari_py.import_roms ROMS
rm -rf Roms.rar *ROMS.zip ROMS

Run training (debug CPU mode)

python pydreamer/train.py --configs defaults atari debug --env_id Atari-Pong

Run training (full GPU mode)

python pydreamer/train.py --configs defaults atari atari_pong --run_name atari_pong_1

Owner

GitHub Repository

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PyTorch implementation of DreamerV2 model-based RL algorithm

Related tags

Overview

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Features

Running the code

Running locally

Owner

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PyTorch implementation of DreamerV2 model-based RL algorithm

Related tags

Overview

PyDreamer

Features

Running the code

Running locally

Owner

​ This is the Pytorch implementation of Progressive Attentional Manifold Alignment.

Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks

CrossMLP - The repository offers the official implementation of our BMVC 2021 paper (oral) in PyTorch.

A PyTorch implementation of "From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network" (ICCV2021)

Delta Conformity Sociopatterns Analysis - Delta Conformity Sociopatterns Analysis

Teaches a student network from the knowledge obtained via training of a larger teacher network

Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes'

nfelo: a power ranking, prediction, and betting model for the NFL

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?"

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

Official implementation of the NRNS paper: No RL, No Simulation: Learning to Navigate without Navigating

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Library to enable Bayesian active learning in your research or labeling work.

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

yolov5目标检测模型的知识蒸馏（基于响应的蒸馏）

Finding all things on-prem Microsoft for password spraying and enumeration.

Betafold - AlphaFold with tunings

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

This is a yolo3 implemented via tensorflow 2.7

This is the Pytorch implementation of Progressive Attentional Manifold Alignment.