https://github.com/lhrlab/kbqa-o1
공식 코드KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Papers with Code 아카이브
Visual Navigation
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Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.
Source: Vision-based Navigation Using Deep Reinforcement Learning
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lzk23/hpcschedule
공식 코드https://github.com/mark12ding/sam2long
공식 코드SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
https://github.com/marsaki/vln-bevbert
공식 코드BEVBert: Multimodal Map Pre-training for Language-guided Navigation
https://github.com/maximecb/gym-miniworld
공식 코드Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
https://github.com/maytusp/tta-nav
공식 코드TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions
https://github.com/mchancan/citylearn
공식 코드CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
https://github.com/mchancan/deepseqslam
공식 코드DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
https://github.com/mhnazeri/vanp
공식 코드VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
https://github.com/mmurray/cvdn
공식 코드https://github.com/mttgdd/vdna-experience-selection
공식 코드https://github.com/netmanaiops/psqueeze
공식 코드Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems
https://github.com/openai/deeptype
공식 코드DeepType: Multilingual Entity Linking by Neural Type System Evolution
https://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/pioneer-innovation/zero-shot-object-navigation
공식 코드https://github.com/pliang279/LG-FedAvg
공식 코드Think Locally, Act Globally: Federated Learning with Local and Global Representations
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/proroklab/popgym
공식 코드POPGym: Benchmarking Partially Observable Reinforcement Learning
https://github.com/pulp-platform/pulp-dronet
공식 코드A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
https://github.com/qxcv/asnets
공식 코드https://github.com/ravikt/gril
공식 코드Imitation Learning with Human Eye Gaze via Multi-Objective Prediction
https://github.com/robot-learning-freiburg/Dav-Nav
공식 코드Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
https://github.com/rosanom/habitat-domain-adaptation
공식 코드On Embodied Visual Navigation in Real Environments Through Habitat
https://github.com/rvl-lab-utoronto/visual_search_in_the_wild
공식 코드https://github.com/samholt/deepgenerativesymbolicregression
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/scottemmons/sgm
공식 코드https://github.com/shamanez/VUSFA-Variational-Universal-Successor-Features-Approximator
공식 코드https://github.com/shuailyu0110/sql-o1
공식 코드SQL-o1: Automatic Text-to-SQL Program Synthesis via Self-Reward Heuristic Search
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/skypitcher/hats
공식 코드Towards Optimally Efficient Search with Deep Learning for Large-Scale MIMO Systems
https://github.com/smartandcleverrobot/icra-cirn
공식 코드Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.