Papers with Code 아카이브

Navigate

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

0

보존된 평가 기록

0

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/m5823779/DDPG

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

https://github.com/m5823779/MotionPlannerUsingDDPG

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

https://github.com/ma921/XRDidentifier

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units

https://github.com/marijnvk/LargeScaleEvolution

Large-Scale Evolution of Image Classifiers

https://github.com/marina-sp/reinform

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

https://github.com/markWJJ/rl

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

https://github.com/mbrossar/RINS-W

AI-IMU Dead-Reckoning

https://github.com/meera1hahn/Graph_LED

Where Are You? Localization from Embodied Dialog

https://github.com/meera1hahn/NRNS

No RL, No Simulation: Learning to Navigate without Navigating

https://github.com/miaoruonan/MACA_test

Socially Aware Motion Planning with Deep Reinforcement Learning

https://github.com/microsoft/affect_based_intrinsic_rewards_for_learning_representations

Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards

https://github.com/microsoft/affectbased

Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards

https://github.com/microsoft/rd-agent

Towards Data-Centric Automatic R&D

https://github.com/microsoft/repoclassbench

Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository

https://github.com/minosworld/minos

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

https://github.com/minstar/BIDAF

Bidirectional Attention Flow for Machine Comprehension

https://github.com/mirkozaff/aa-sgan

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

https://github.com/mit-acl/cadrl_ros

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

https://github.com/mit-acl/gym-collision-avoidance

Socially Aware Motion Planning with Deep Reinforcement Learning

https://github.com/mit-acl/rl_collision_avoidance

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

https://github.com/mobilellm/droidbot-gpt

DroidBot-GPT: GPT-powered UI Automation for Android

https://github.com/montrealrobotics/one4all

One-4-All: Neural Potential Fields for Embodied Navigation

https://github.com/morganmcg1/reformer-fastai

AutoTrans: Automating Transformer Design via Reinforced Architecture Search

https://github.com/morganmcg1/reformer-fastai-old

AutoTrans: Automating Transformer Design via Reinforced Architecture Search

https://github.com/mxu34/DPGP

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field

https://github.com/neurobot-project/AvoidanceSimulation

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

https://github.com/neurodram/3D-recurrent-visual-attention-model

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

https://github.com/nkluge-correa/teenytinyllama

Training Compute-Optimal Large Language Models

https://github.com/nl2g/quarterly-arxiv

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?

https://github.com/nolanwinsman/Team-Doom

ViZDoom Competitions: Playing Doom from Pixels

https://github.com/nsavinov/SPTM

Semi-parametric Topological Memory for Navigation

https://github.com/nutonomy/nuscenes-devkit

Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

https://github.com/open-finance-lab/finlora

BloombergGPT: A Large Language Model for Finance

https://github.com/opendilab/DI-engine

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

https://github.com/openlamm/lamm

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

https://github.com/oxquantum-repo/drl_for_quantum_measurement

Deep Reinforcement Learning for Efficient Measurement of Quantum Devices

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.