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- PILCO: A Model-Based and Data-Efficient Approach to Policy Search
In this paper, we introduce pilco, a practi-cal, data-e cient model-based policy search method Pilco reduces model bias, one of the key problems of model-based reinforce-ment learning, in a principled way By learn-ing a probabilistic dynamics model and ex-plicitly incorporating model uncertainty into long-term planning, pilco can cope with
- Model-Based RL Ⅲ: 从源码读懂PILCO - 知乎 - 知乎专栏
这系列的文章顺序有些错误，PILCO是2011年针对机器人控制提出的基于模型的强化学习算法，理应在Dyna之后、 MVE 之前，因为PILCO的创新是引入了对于model bias的考虑，文中用 高斯过程 (Gaussian Processes)学习一个 概率动力学模型 (probabilistic dynamics model)。
- PILCO | Proceedings of the 28th International Conference on . . .
In this paper, we introduce PILCO, a practical, data-efficient model-based policy search method PILCO reduces model bias, one of the key problems of model-based reinforcement learning, in a principled way
- nrontsis PILCO: Bayesian Reinforcement Learning in Tensorflow - GitHub
A modern clean implementation of the PILCO Algorithm in TensorFlow v2 Unlike PILCO's original implementation which was written as a self-contained package of MATLAB, this repository aims to provide a clean implementation by heavy use of modern machine learning libraries
- Improving PILCO with Bayesian Neural Network Dynamics Models
PILCO’s framework to use Bayesian deep dynamics models with approximate variational inference, allowing PILCO to scale linearly with number of trials and observation space
- PILCO | Littleroot
The PILCO (probabilistic inference for learning control) method consists of three key components: the dynamics model, analytic approximate policy evaluation and gradient-based policy improvement Model Learning #
- PILCO: A Model-Based and Data-Efficient Approach to Policy Search.
In this paper, we introduce PILCO, a practical, data-efficient model-based policy search method PILCO reduces model bias, one of the key problems of model-based reinforcement learning, in a
- Data-Efficient Approach to Policy Search - University of Toronto
PILCO Contributions 1 PILCO is model-based policy search method that reduces Model bias 2 Learns Probabilistic Dynamics model and incorporates model uncertainty into planning - This facilitates learning from very few trials (some cases <20 secs) 3 Computes policy gradients analytically
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