Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  introduce pilco, a practical, data-ecient model-based policy search method. Pilco reduces model bias, one of the key problems of model-based reinforcement learning, in a principled way. By learning a probabilistic dynamics model and explicitly incorporating model uncertainty into long-term planning, pilco can cope with very little data and facilitates learning from scratch in only a few trials. Policy evaluation is performed in closed form using state-ofthe-art approximate inference. Furthermore, policy gradients are computed analytically for policy improvement.  report unprecedented learning eciency on challenging and high-dimensional control tasks.
['Marc Peter Deisenroth', 'Carl Edward Rasmussen']
I am writing a research paper on a idea PILCO: A Model-Based and Data-Efficient Approach to Policy Search
[{"from": "human", "value": "I am writing a research paper on a idea PILCO: A Model-Based and Data-Efficient Approach to Policy Search"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  introduce pilco, a practical, data-ecient model-based policy search method. Pilco reduces model bias, one of the key problems of model-based reinforcement learning, in a principled way. By learning a probabilistic dynamics model and explicitly incorporating model uncertainty into long-term planning, pilco can cope with very little data and facilitates learning from scratch in only a few trials. Policy evaluation is performed in closed form using state-ofthe-art approximate inference. Furthermore, policy gradients are computed analytically for policy improvement.  report unprecedented learning eciency on challenging and high-dimensional control tasks."}]