google-research / policy-learning-landscapeLinks
Explore the optimization landscape for direct policy learning reinforcement learning.
☆51Updated 7 years ago
Alternatives and similar repositories for policy-learning-landscape
Users that are interested in policy-learning-landscape are comparing it to the libraries listed below
Sorting:
- ☆35Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆24Updated 2 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 5 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 3 years ago
- ☆44Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆32Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆22Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 5 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 6 years ago
- Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies☆15Updated 6 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 9 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Ranking Policy Gradient☆23Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 8 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆44Updated 4 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 7 years ago
- SeqGAN but with more bells and whistles☆24Updated 7 years ago
- Reinforcement Learning Assembly☆92Updated 4 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Separating value functions across time-scales.☆17Updated 6 years ago