Defining action spaces for conversational agents and optimizing their decision-making process with reinforcement learning is an enduring challenge.
the word-level RL's success rate also improves to 79%, but the generated responses completely deviate from natural language, increasing perplexity from 3.98 to 17.11 and dropping BLEU from 18.9 to 1.4.