Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models — mentioned by omry

Sun, 13 Oct 2019 15:21:20 GMT

The project grew organically. Evolution was something like: 1. Let's build a framework for model based RL, we can start by implementing the PETS paper (https://arxiv.org/abs/1805.12114) 2. It sure does have a lot of degrees of flexibility, and the PETS reference implementation is full of hard coded configuration. It would be nice to be able to combine configuration files somehow and override them from the command line. 3. Looking around, I didn't find anything that was quiet what I was after so I created OmegaConf (https://github.com/omry/omegaconf) 4. Building the framework, I evolved my…

Paper and discussion history. A mention is not an endorsement.

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models · HackerPapers discussions

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models — mentioned by omry