facebookresearch / slbo
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
☆93Updated 5 years ago
Alternatives and similar repositories for slbo:
Users that are interested in slbo are comparing it to the libraries listed below
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 7 months ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆42Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- ☆83Updated 4 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- ☆44Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- ☆35Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- ☆98Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- rllab's viskit with some added features☆73Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆68Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆123Updated 5 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆73Updated 5 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago