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/facebookresearch/decrypto

공식 코드

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind

https://github.com/facebookresearch/habitat-api

공식 코드

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

https://github.com/facebookresearch/habitat-lab

공식 코드

VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement

https://github.com/facebookresearch/image-goal-nav-dataset

공식 코드

Memory-Augmented Reinforcement Learning for Image-Goal Navigation

https://github.com/facebookresearch/maze_navigation_MLMU

공식 코드

Transformers Can Navigate Mazes With Multi-Step Prediction

https://github.com/facebookresearch/sound-spaces

공식 코드

SoundSpaces: Audio-Visual Navigation in 3D Environments

https://github.com/facebookresearch/talkthewalk

공식 코드

Talk the Walk: Navigating New York City through Grounded Dialogue

https://github.com/fardinsaad/gricean-norms

공식 코드

Gricean Norms as a Basis for Effective Collaboration

https://github.com/feliciaxyao/icml2024-fstta

공식 코드

Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation

https://github.com/fietelab/farmap

공식 코드

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building

https://github.com/florianmai/emb2emb

공식 코드

Plug and Play Autoencoders for Conditional Text Generation

https://github.com/flowersteam/sensorimotor-lenia-search

공식 코드

Discovering Sensorimotor Agency in Cellular Automata using Diversity Search

https://github.com/fsalv/ClusterWay

공식 코드

Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering

https://github.com/gair-nlp/deepresearcher

공식 코드

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

https://github.com/gangiswag/infogent

공식 코드

Infogent: An Agent-Based Framework for Web Information Aggregation

https://github.com/garyz712/drlpiddronecontrol

공식 코드

AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights

https://github.com/gauravreddy08/OcularAI

공식 코드

MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired

https://github.com/generalroboticslab/Text2Robot

공식 코드

Text2Robot: Evolutionary Robot Design from Text Descriptions

https://github.com/gersteinlab/locagent

공식 코드

LocAgent: Graph-Guided LLM Agents for Code Localization

https://github.com/gersteinlab/ml-bench

공식 코드

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

https://github.com/gistvision/moca

공식 코드

Factorizing Perception and Policy for Interactive Instruction Following

https://github.com/gkahn13/LaND

공식 코드

LaND: Learning to Navigate from Disengagements

https://github.com/gkahn13/badgr

공식 코드

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

https://github.com/gkahn13/gcg

공식 코드

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

https://github.com/gnns4hri/socnavgym

공식 코드

SocNavGym: A Reinforcement Learning Gym for Social Navigation

https://github.com/gnobitab/fusedream

공식 코드

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

https://github.com/goldslime123/explorb-slam-rl

공식 코드

Reinforcement Learning with Frontier-Based Exploration via Autonomous Environment

https://github.com/google-research/google-research

공식 코드

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer

https://github.com/google-research/google-research/tree/master/compositional_rl

공식 코드

Adversarial Environment Generation for Learning to Navigate the Web

https://github.com/gramuah/semnav

공식 코드

SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic Navigation

https://github.com/gustavokcouto/hgail

공식 코드

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

https://github.com/gyhou123/egosocialarena

공식 코드

Entering Real Social World! Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective

https://github.com/haidiazaman/rl-concept-learning-project

공식 코드

Compositional Learning of Visually-Grounded Concepts Using Reinforcement

https://github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance

공식 코드

Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player

https://github.com/hannahkirk/prism-alignment

공식 코드

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

https://github.com/hanqingwangai/ccc-vln

공식 코드

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

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