https://github.com/nubot-nudt/SG-D3QN
공식 코드Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
Papers with Code 아카이브
Robot Navigation
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The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/openai/deeptype
공식 코드DeepType: Multilingual Entity Linking by Neural Type System Evolution
https://github.com/oravus/seqNet
공식 코드SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
https://github.com/panshark/pirl-win
공식 코드https://github.com/peteanderson80/Matterport3DSimulator
공식 코드https://github.com/pi-star-lab/unscalable-heuristic-approximator
공식 코드The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems
https://github.com/pic4ser/socialcostfunction
공식 코드Learning Social Cost Functions for Human-Aware Path Planning
https://github.com/pmandros/fodiscovery
공식 코드Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
https://github.com/pmandros/wodiscovery
공식 코드https://github.com/pnnl/chemreasoner
공식 코드https://github.com/prbonn/ir-mcl
공식 코드IR-MCL: Implicit Representation-Based Online Global Localization
https://github.com/pulak09/NeuRoRA
공식 코드https://github.com/qxcv/asnets
공식 코드https://github.com/raise-lab/soc-nav-training
공식 코드Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation
https://github.com/rayguan97/GANav-offroad
공식 코드GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
https://github.com/robotixx/multimodal-fusion-network
공식 코드A Study on Learning Social Robot Navigation with Multimodal Perception
https://github.com/rpartsey/pointgoal-navigation
공식 코드https://github.com/ruiqini/ntfields
공식 코드NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
https://github.com/rvl-lab-utoronto/visual_search_in_the_wild
공식 코드https://github.com/sair-lab/islam
공식 코드https://github.com/salehiac/languagegroundedqd
공식 코드Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
https://github.com/salehiac/openballbot-rl
공식 코드Reinforcement Learning for Ballbot Navigation in Uneven Terrain
https://github.com/samholt/deepgenerativesymbolicregression
공식 코드https://github.com/sampo-kuutti/training-adversarial-agents
공식 코드Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
https://github.com/sarapohland/stranger-danger
공식 코드https://github.com/scope-lab-vu/ada-mcts
공식 코드Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
https://github.com/seongun-kim/vcrl
공식 코드Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
https://github.com/shacklettbp/bps-nav
공식 코드https://github.com/shiyoung77/ovir-3d
공식 코드OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
https://github.com/shuailyu0110/sql-o1
공식 코드SQL-o1: Automatic Text-to-SQL Program Synthesis via Self-Reward Heuristic Search
https://github.com/shuijing725/crowdnav_sim2real_turtlebot
공식 코드Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
https://github.com/shuishida/calvin
공식 코드Towards real-world navigation with deep differentiable planners
https://github.com/sisl/CMSSPs
공식 코드Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
https://github.com/siyandong/NeuralRouting
공식 코드https://github.com/sjahangard/Real-time-Trajectory-based-Social-Group-Detection
공식 코드https://github.com/skypitcher/hats
공식 코드Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.