Virtual Player
Based on the agent training cloud platform and use of deep learning, reinforcement learning, imitation learning, virtual player agents can be trained to play the role of intelligent teammates and opponents with different levels and play styles. They can be used for game testing, human-AI interaction, drop-in replacement for human players, user experience optimization and personalization.
Applicable industry: PVP games (tactical sports, MOBA, SLG, RTS, chess and other game categories), e-sports, etc.
Virtual Character
Based on the agent training cloud platform and use of deep learning, reinforcement learning, imitation learning, virtual player agents can be trained for non-player characters with different personalities and human-like behaviors. They can be used for plot development, human-computer interaction, character production, etc.
Applicable industry: PVE games (role-playing, simulation, survival, adventure, sandbox, open world and other game categories), interactive movies, virtual social networks, etc.
