visual-reinforcement-learning
There are 14 repositories under visual-reinforcement-learning topic.
zfw1226/gym-unrealcv
Unreal environments for reinforcement learning
qiwang067/LS-Imagine
[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"
Guozheng-Ma/DA-in-visualRL
Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).
DanHrmti/ECRL
Official PyTorch implementation of "Entity-Centric Reinforcement Learning for Object Manipulation from Pixels", Haramati et al., ICLR 2024
qiwang067/CoWorld
[NeurIPS 2024] PyTorch code for the paper "Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning"
aalmuzairee/dmcgb2
Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)
doihye/EAR
Official pytorch implementation of the paper [Environment Agnostic Representation for Visual Reinforcement learning]
UnrealTracking/Offline_RL_Active_Tracking
The official implementation of the ECCV 2024 paper "Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL"
Guozheng-Ma/Adaptive-Replay-Ratio
[ICLR 2024] Adaptive Replay Ratio implementation from 'Revisiting Plasticity in Visual RL: Data, Modules and Training Stages'.
lilucse/Normalization-Enhances-Generalization-in-Visual-Reinforcement-Learning
[AAMAS 2024 oral] Original PyTorch implementation of experiments in paper 'Normalization Enhances Generalization in Visual Reinforcement Learning'.
vtleonardo/Reinforcement-Learning
Implementation of the DQN and DRQN algorithms in Keras and tensorflow
AlexandreBrown/RL-ViGen-Portable
This is a fork of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization" to make it more portable for ease of use in research. The goal of this repository is to provide an easier way to install RL-ViGen environments (only envs) in already established repos with minimal dependencies.
Guozheng-Ma/CycAug
[NeurIPS 2023] CycAug implementation from paper 'Learning Better with Less: Effective Augmentation for Sample-Efficient Visual RL'.
AlexandreBrown/RoboHive-TorchRL-Prototype
Small prototype to show RoboHive usage with TorchRL for visual deep reinforcement learning