How can a reinforcement learning agent improve cryptocurrencies performance?
In the realm of cryptocurrencies and finance, how can reinforcement learning agents be harnessed to optimize performance? Given the volatile nature of the market, how could such agents learn from past transactions and patterns to make more informed decisions? Would these agents be capable of identifying trends, predicting price movements, or even executing trades on their own? Could they potentially reduce risk, increase profits, or provide insights that human traders may miss? What challenges would need to be overcome to effectively integrate reinforcement learning into cryptocurrency trading strategies?