The Malmo Collaborative AI Challenge
A long-term goal of artificial intelligence research is to develop artificial assistants (AI agents) that can collaborate with and empower their users. This goal raises important questions, such as how AI agents may understand a person’s goals, plans and beliefs in order to facilitate effective collaboration. In this talk I give an overview of the Malmo Collaborative AI Challenge – a challenge our team recently conducted to increase awareness of these research challenges and enable steps towards solutions. I will give an overview of the challenge task and initial findings. Finally, the winning teams of the challenge will present their approach and insights gained towards developing collaborative AI.
- Séries:
- Cambridge Lab PhD Summer School
- Date:
- Haut-parleurs:
- Katja Hofmann
- Affiliation:
- Microsoft
-
-
Scarlet Schwiderski-Grosche
Director
-
-
Taille: Cambridge Lab PhD Summer School
-
The Malmo Collaborative AI Challenge
Speakers:- Scarlet Schwiderski-Grosche
-
Counterfactual Multi-Agent Policy Gradients
Speakers:- Scarlet Schwiderski-Grosche
-
Design - On the Human Side
Speakers:- Alex Taylor,
- Scarlet Schwiderski-Grosche
-
Probabilistic Machine Learning and AI
Speakers:- Scarlet Schwiderski-Grosche
-
Policy Gradient Methods: Tutorial and New Frontiers
Speakers:- Scarlet Schwiderski-Grosche
-
Strategic Thinking for Researchers
Speakers:- Andy Gordon,
- Jeff Running
-
How to Write a Great Research Paper
Speakers:- Scarlet Schwiderski-Grosche,
- Simon Peyton Jones
-
Project Malmo – a platform for fundamental AI research
Speakers:- Scarlet Schwiderski-Grosche
-
No Compromises: Distributed Transactions with Consistency, Availability, and Performance
Speakers:- Scarlet Schwiderski-Grosche
-
The Evolution of Innovation
Speakers:- Scarlet Schwiderski-Grosche
-
How to Give a Great Research Talk
Speakers:- Scarlet Schwiderski-Grosche,
- Simon Peyton Jones