MuJoCo (multi-joint dynamics with contact) is a physics engine used to implement environments to benchmark Reinforcement Learning methods.
Variants: MuJoCo
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Multivariate Time Series Forecasting | Latent ODE (ODE enc) | Latent ODEs for Irregularly-Sampled Time … | 2019-07-08 |
| Multivariate Time Series Forecasting | ODE-RNN | Latent ODEs for Irregularly-Sampled Time … | 2019-07-08 |
| Multivariate Time Series Forecasting | Latent ODE (RNN enc.) | Neural Ordinary Differential Equations | 2018-06-19 |
| Multivariate Time Series Forecasting | RNN-VAE | Neural Ordinary Differential Equations | 2018-06-19 |
| Multivariate Time Series Forecasting | RNN GRU-D | Recurrent Neural Networks for Multivariate … | 2016-06-06 |
Recent papers with results on this dataset: