Reinforcement learning is a type of machine learning in which an agent learns by taking actions in an environment and receiving feedback in the form of reward signals. The objective of the agent is to maximize the cumulative reward over time. However, there are certain challenges that can hinder the learning process. These challenges include difficult-to-explore environments, sparse or uncertain rewards.
When the environment is hard to explore and the rewards are scarce or uncertain, we face obstacles ...
