williamleif / PSRToolbox
Collection of methods and tools for using PSRs to model dynamical systems.
☆14Updated 9 years ago
Alternatives and similar repositories for PSRToolbox:
Users that are interested in PSRToolbox are comparing it to the libraries listed below
- ☆43Updated 8 years ago
- ☆68Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆42Updated 9 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 8 years ago
- ☆97Updated 8 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Design good curriculums for deep reinforcement learning☆14Updated 8 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆95Updated 6 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- ☆65Updated last year
- E2C implementation in PyTorch☆43Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆10Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Implementation of Variational Intrinsic Control in tensorflow☆11Updated 8 years ago
- ☆13Updated 6 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆32Updated 7 years ago
- Code for paper Causal Confusion in Imitation Learning☆45Updated 5 years ago
- ☆33Updated 6 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Updated 7 years ago
- third person imitation learning. Archival only.☆76Updated 5 years ago