Exploring Offline Reinforcement Learning RL: Offering Practical Advice for Domain-Specific Practitioners and Future Algorithm Development Sajjad Ansari Artificial Intelligence Category – MarkTechPost
[[{“value”:” Data-driven methods that convert offline datasets of prior experiences into policies are a key way to solve control problems in various fields. There are mainly two approaches for learning policies from offline data, imitation learning and offline reinforcement learning (RL). Imitation learning needs high-quality… Read More »Exploring Offline Reinforcement Learning RL: Offering Practical Advice for Domain-Specific Practitioners and Future Algorithm Development Sajjad Ansari Artificial Intelligence Category – MarkTechPost