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:
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- ☆35Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆126Updated 6 years ago
- ☆44Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- ☆43Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 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
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago