[PDF][PDF] Multi-Agent Intention Progression with Reward Machines.
Recent work in multi-agent intention scheduling has shown that enabling agents to predict
the actions of other agents when choosing their own actions may be beneficial. However …
the actions of other agents when choosing their own actions may be beneficial. However …
OM-TCN: A dynamic and agile opponent modeling approach for competitive games
Y Ma, M Shen, N Zhang, X Tong, Y Li - Information Sciences, 2022 - Elsevier
The non-stationarity of the environment is a crucial challenge for competitive Multi-Agent
Reinforcement Learning (MARL) due to the constantly changing opponent policy. Existing …
Reinforcement Learning (MARL) due to the constantly changing opponent policy. Existing …
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
Tight coordination is required for effective human-robot teams in domains involving fast
dynamics and tactical decisions, such as multi-car racing. In such settings, robot teammates …
dynamics and tactical decisions, such as multi-car racing. In such settings, robot teammates …
Resilience, reliability, and coordination in autonomous multi-agent systems
Multi-agent systems is an evolving discipline that encompasses many different branches of
research. The long-standing Agents at Aberdeen (A 3) group undertakes research across …
research. The long-standing Agents at Aberdeen (A 3) group undertakes research across …
[PDF][PDF] Multi-agent intention recognition and progression
For an agent in a multi-agent environment, it is often beneficial to be able to predict what
other agents will do next when deciding how to act. Previous work in multi-agent intention …
other agents will do next when deciding how to act. Previous work in multi-agent intention …
[PDF][PDF] Feedback-Guided Intention Scheduling for BDI Agents
Intelligent agents, like those based on the popular BDI agent paradigm, typically pursue
multiple goals in parallel. An intention scheduler is required to reason about the possible …
multiple goals in parallel. An intention scheduler is required to reason about the possible …
[PDF][PDF] Comparing Variable Handling Strategies in BDI Agents: Experimental Study.
BDI (Belief-Desire-Intention) agents represent a paradigm in artificial intelligence,
demonstrating proficiency in reasoning, planning, and decision-making. They offer a …
demonstrating proficiency in reasoning, planning, and decision-making. They offer a …