Natural Language Processing - Yoav Artzi - Cornell University

Natural Language Processing - Yoav Artzi - Cornell University

Paul G. Allen School via YouTube Direct link

Instruction Following in Collaborations

21 of 29

21 of 29

Instruction Following in Collaborations

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Natural Language Processing - Yoav Artzi - Cornell University

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  1. 1 Intro
  2. 2 Mapping Instructions to Actions
  3. 3 Mapping Instructions to Control • Drone state is determined by a configuration of target velocities
  4. 4 Modular Approach
  5. 5 Single-model Approach
  6. 6 Visitation Distribution for Navigation
  7. 7 Simulation-Reality Joint Learning
  8. 8 Training Data
  9. 9 Learning Architecture Supervised Learning Learning
  10. 10 RL for Control
  11. 11 Reward Goals
  12. 12 SuReAL Supervised and Reinforcement Asynchronous Learning
  13. 13 Experimental Setup
  14. 14 Human Evaluation
  15. 15 Game Environment
  16. 16 Two Players
  17. 17 Game Objective
  18. 18 Action and Dynamic
  19. 19 The CerealBar Scenario
  20. 20 The Task Goal: learn to map leader instructions to follower actions
  21. 21 Instruction Following in Collaborations
  22. 22 Learning with Error Propagation
  23. 23 Generating Error Recovery Examples
  24. 24 Generated Recovery Example
  25. 25 Data Collection
  26. 26 Data Statistics
  27. 27 Data Under-utilization
  28. 28 Cascaded Evaluation Metrics
  29. 29 Results: Held-out Games

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