long-horizon
term_id: long_horizon
Category: basic_concepts
Definition
Long-horizon problems involve sequences of actions where the impact of early decisions manifests only after many steps. This is common in robotics, planning, and multi-step reasoning tasks. The challenge lies in credit assignment—determining which past actions contributed to current outcomes—and maintaining consistency over time. Algorithms must balance immediate gains with long-term objectives, often requiring sophisticated memory mechanisms or hierarchical planning strategies to succeed.
Summary
Refers to tasks requiring decision-making over extended timeframes with delayed rewards or consequences.
Key Concepts
- Temporal Dependency
- Credit Assignment
- Delayed Reward
- Sequential Decision Making
Use Cases
- Robotic manipulation tasks
- Multi-step financial trading
- Strategic game planning