facebookresearch / slboLinks
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
☆93Updated 6 years ago
Alternatives and similar repositories for slbo
Users that are interested in slbo are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Updated 8 years ago
- ☆44Updated 7 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆128Updated 6 years ago
- ☆44Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 7 years ago
- ☆36Updated 7 years ago
- NIPS 2017 Value Prediction Network☆167Updated 8 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 5 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 8 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆80Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated 2 years ago
- A3C style Option-Critic with deliberation cost☆40Updated 8 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Updated 6 years ago
- ☆86Updated 4 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Deep Variational Reinforcement Learning☆139Updated 3 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 3 years ago