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Gainful Curiosity
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Classroom Contents
Building Embodied Autonomous Agents
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- 1 Intro
- 2 Learning Behaviors
- 3 Physical Intelligence
- 4 Goal-conditioned Navigation
- 5 Real World: Object Goal Navigation
- 6 Navigation Tasks
- 7 Active Neural SLAM: Overview
- 8 Neural SLAM Module
- 9 Domain Generalization: Matterport3D
- 10 Exploration Results
- 11 Point-Goal Navigation
- 12 Harder Datasets
- 13 Semantic Priors and Common Sense
- 14 Topological Maps
- 15 Topological Graph Representation
- 16 Semantic Prediction
- 17 Neural Topological SLAM
- 18 Internet vs Embodied Data
- 19 Using Internet models for Embodied Agents
- 20 Embodied Perception
- 21 Perception-Action Loop
- 22 SEAL: Self-supervised Embodied Active Learning
- 23 3D Semantic Mapping
- 24 Gainful Curiosity
- 25 Policy Learning
- 26 3D Label Propagation
- 27 Explicit Semantic Mapping
- 28 Results: Object Goal Navigation
- 29 EIF: Embodied Instruction Following: ALFRED
- 30 Simulation to Real
- 31 Building Intelligent Agents
