Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An agent must learn and adapt quickly when playing against other agents. This process is challenging in particular when playing in stochastic environments against other learning agents. ,  introduce a fast and adaptive learning algorithm for repeated stochastic games (FAL-SG). FAL-SG utilizes lossy game abstraction to reduce the state space of the game and facilitate learning and adapting rapidly.  analyze FAL-SG's performance by proving bounds on the abstraction loss and prediction mistakes and show that FAL-SG satisfies three criteria prescribed for multiagent learning algorithms.  successfully establish the robustness and scalability of FAL-SG with extensive theoretical and experimental results.
['Mohamed Elidrisi', 'Nicholas Johnson', 'Maria L. Gini', 'Jacob W. Crandall']
I am writing a research paper on a idea Fast adaptive learning in repeated stochastic games by game abstraction
[{"from": "human", "value": "I am writing a research paper on a idea Fast adaptive learning in repeated stochastic games by game abstraction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An agent must learn and adapt quickly when playing against other agents. This process is challenging in particular when playing in stochastic environments against other learning agents. ,  introduce a fast and adaptive learning algorithm for repeated stochastic games (FAL-SG). FAL-SG utilizes lossy game abstraction to reduce the state space of the game and facilitate learning and adapting rapidly.  analyze FAL-SG's performance by proving bounds on the abstraction loss and prediction mistakes and show that FAL-SG satisfies three criteria prescribed for multiagent learning algorithms.  successfully establish the robustness and scalability of FAL-SG with extensive theoretical and experimental results."}]