https://github.com/jsego/bfgp-pp
Representation and Synthesis of C++ Programs for Generalized Planning
Papers with Code 아카이브
Visual Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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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/luchris429/popjaxrl
POPGym: Benchmarking Partially Observable Reinforcement Learning
https://github.com/luchris429/s5rl
POPGym: Benchmarking Partially Observable Reinforcement Learning
https://github.com/naver/debit
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
https://github.com/omron-sinicx/planning-datasets
https://github.com/ondrejba/action_attention_iclr_22
Factored World Models for Zero-Shot Generalization in Robotic Manipulation
https://github.com/opendilab/DI-engine
https://github.com/pulp-platform/Himax_Dataset
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
https://github.com/ram81/il_rl_baselines
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
https://github.com/robodhruv/visualnav-transformer
https://github.com/s-gupta/map-plan-baseline
https://github.com/shamanez/Target-Driven-Visual-Navigation-with-Distributed-PPO
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
https://github.com/shamanez/masters-work-target-driven-visual-navigation
https://github.com/sisl/CMSSPs.jl
Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths
https://github.com/sitloboi2012/Visualization-of-Thought
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
https://github.com/tensorflow/models/tree/master/research/cognitive_mapping_and_planning
https://github.com/tensorflow/models/tree/master/research/cognitive_planning
Visual Representations for Semantic Target Driven Navigation
https://github.com/thezingaro/multimodal-side-tuning
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
https://github.com/uditsharma29/flynet-cann
A Hybrid Compact Neural Architecture for Visual Place Recognition
https://github.com/verbal-noun/a-star-pathfinding-family
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions
https://github.com/verlab/3d-object-semantic-mapping
https://github.com/verlab/accelerated_features
https://github.com/vtolani95/HumANav-Release
Visual Navigation Among Humans with Optimal Control as a Supervisor
https://github.com/wqynew/enhanced-neonav
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
https://github.com/xiaobaishu0097/ECCV-VN
Learning Object Relation Graph and Tentative Policy for Visual Navigation
https://github.com/yramon/ShapCounterfactual
Counterfactual Explanation Algorithms for Behavioral and Textual Data
https://github.com/yramon/edc
Counterfactual Explanation Algorithms for Behavioral and Textual Data
https://github.com/zuoxingdong/VIN_PyTorch_Visdom
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.