Free Task

Free task learning focuses on training artificial intelligence agents to perform tasks without the need for explicit resets or predefined episode boundaries, improving autonomy and data efficiency. Current research emphasizes model-based reinforcement learning methods, exploring techniques like prioritized state exploration and heterogeneous neural processes to handle the challenges of diverse and limited data in multi-task scenarios. These advancements aim to reduce the reliance on human intervention in training, leading to more robust and adaptable AI systems with applications across various domains.