17 citations · 19 across the 13 of their papers we have counts for
6 papers · 1 filter
Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
Tristan Shah, Ilya Nemenman, Daniel Polani +1
Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineered, but emerge from the interaction of an agent with its surroundings. In…
Emergence of Physical Intelligence via Controllable Information Production
Tristan Shah, Stas Tiomkin
Intrinsic Motivation (IM) aims to train agents without external rewards, enabling useful behavior to emerge from the agent's interaction with its environment alone. However, the do…
Goals and the Structure of Experience
Nadav Amir, Stas Tiomkin, Angela Langdon
Purposeful behavior is a hallmark of natural and artificial intelligence. Its acquisition is often believed to rely on world models, comprising both descriptive (what is) and presc…
Learning telic-controllable state representations
Nadav Amir, Stas Tiomkin
Computational models of purposeful behavior comprise both descriptive and prescriptive aspects, used respectively to ascertain and evaluate situations in the world. In reinforcemen…
Multi-Objective Policy Gradients with Topological Constraints
Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer +1
Multi-objective optimization models that encode ordered sequential constraints provide a solution to model various challenging problems including encoding preferences, modeling a c…
AvE: Assistance via Empowerment
Yuqing Du, Stas Tiomkin, Emre Kiciman +3
One difficulty in using artificial agents for human-assistive applications lies in the challenge of accurately assisting with a person's goal(s). Existing methods tend to rely on i…