RLLAB (rllab-snu)

RLLAB

rllab-snu

Geek Repo

Home Page:http://rllab.snu.ac.kr

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RLLAB's repositories

RNR-Map

Official Github repository for "Renderable Neural Radiance Map for Visual Navigation‬". (CVPR 2023)

TopologicalSemanticGraphMemory

Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)

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Deep-Reinforcement-Learning

Introduction to Deep Reinforcement Learning

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tsallis_actor_critic_mujoco

Implementation of Tsallis Actor Critic method

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Visual-Graph-Memory

Official GitHub Repository for paper "Visual Graph Memory with Unsupervised Representation for Visual Navigation", ICCV 2021

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Unsupervised-3D-Reconstruction

Implementation of Unsupervised 3D Reconstruction Network

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Deep-Elastic-Network

Implementation of Deep Elastic Network

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model_predictive_control_stl

Model predictive control under STL constraints

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Autonomous-Driving

List of our studies related to autonomous driving

Robotics-and-Computer-Vision

List of our studies about robotics and computer vision which do not overlap with previous topics

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Reinforcement-Learning

List of our studies related to reinforcement learning

Trust-Region-CVaR

Official GitHub Repository for TRC:Trust Region Conditional Value at Risk for Safe Reinforcement Learning.

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IDNet

Implementation of Learning Instance-Aware Object Detection Using Determinantal Point Processes [https://arxiv.org/pdf/1805.10765.pdf]

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Off-Policy-TRC

Official GitHub Repository for Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value At Risk.

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eventpointnet

EventPointNet: Robust keypoint detector with neuromorphic camera data

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Safe-Distributional-Actor-Critic

Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)

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Best-README-Template

An awesome README template to jumpstart your projects!

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pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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BSON

Benchmark for Socially-Aware Navigation

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