This interdisciplinary workshop will bring world-renowned experts in the AI field to Prague in order to advance the field of meta-learning and multi-agent learning. Due to the format of the workshop (focused working groups), the capacity is limited and the workshop is invitation only, but please contact us (below) if you would be interested in joining.
In this workshop, we aim to answer some critical questions:
- Can we build a general AI agent that is composed of many (homogenous) units that were meta-learned to communicate in order for the agent to learn new tasks in a continuous and open-ended manner?
- Can these units be meta-learned to communicate learned credit, form new topologies, modulate other units, grow new units, learn new motivations, and more?
- Can it lead to an agent that adapts its internal structures in order to better adapt to future challenges?
The workshop will take an interdisciplinary approach drawing on the fields of; machine learning, meta-learning, artificial life, network science, dynamical systems, complexity science, collective computation, social intelligence, creativity and communication, and more. The idea for this workshop came from the type of questions we’re solving while working on our Badger Architecture.
Core areas of focus
- Can we frame policy search as a multi-agent learning problem? (Learn how can units coordinate to learn new tasks together.)
- Can we frame it as a meta-learning problem?
- Can we frame it as just another Deep Learning architecture, e.g. RNN with shared weights?
- Minimum Viable Environment = what minimalistic environment will support learning a general learning algorithm that can generalize to more complex environments interesting for humans?
- How can we add intrinsic motivation, so the agent drives itself, without explicit goals, towards open-ended development?
When and where?
The workshop will take place at the GoodAI headquarters in Prague most likely in late August (we will reassess this depending on how the coronavirus develops). The workshop will be split into two parts:
- First part: 1 week for all, presentations, working groups, discussions
- Second part: extra 3 weeks of focused work (experiments), for people who can stay.
Invited participants will be reimbursed for travel and accommodation expenses during their visit. Click the button below to reach out to us if you would be interested in attending.