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action_attention_iclr_22

Source code for "Binding Actions to Objects in World Models. Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong and Thomas Kipf. ICLR 2022 workshop on Objects, Structure and Causality."

aimda-project

atari-agents

Code and links for over 25,000 trained Atari agents

c-swm

Contrastive Learning of Structured World Models

cnap

Continuous Neural Algorithmic Planner

crafter-appo-baseline

crafter-ood

d3rlpy

An offline deep reinforcement learning library

deep-latent-particles-pytorch

[ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dreamer-oc

Mastering Diverse Domains through World Models

dreamerv2

Mastering Atari with Discrete World Models

dreamerv3-torch

Implementation of Dreamer v3 in pytorch.

hs-project

Репозиторий проекта по курсу "МЕТОДЫ ЭВРИСТИЧЕСКОГО ПЛАНИРОВАНИЯ"

logml_xlvin

mobilesam

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

neural_production_systems

object-centric-learning-framework

ocrl

Object-Centric-Representation Library (OCRL): This repo is to explore OCR on various downstream tasks from supervised learning tasks to RL tasks.

pytorch_sac_ae

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

rbexplore

revisiting-discrete-sac

rl

Implementation of DQN, n-step DQN and TreeQN

roll

Implementation for "ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning", CoRL 2020

sample-factory

High throughput asynchronous reinforcement learning

shapes2d

slate_action

slot_attention

slotdiffusion

Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models