Temporal abstraction is a fundamental component of intelligent agents as it allows for explicit reasoning at different timescales.

These tasks typically require substantial exploration and diversified strategies amongagents.

The concept of information structure is also fundamental to studying the phenomenon ofpartial observability.

Efficient exploration in deep cooperativemulti-agent reinforcement learning (MARL) still remains challenging in complex coordination problems.

Efficient exploration in deep cooperativemulti-agent reinforcement learning (MARL) still remains challenging in complex coordination problems.