Revising Reinforcement Learning: Adaptable Environment Interactions
A major challenge in reinforcement learning is helping tasks transfer smoothly between different environments. A popular approach to handle this is to create policies that work the same way regardless of the environment. However, our take is different. We suggest that policies should learn to spot a