google-research / policy-learning-landscape
Explore the optimization landscape for direct policy learning reinforcement learning.
☆50Updated 6 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
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies☆15Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- ☆35Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- ☆44Updated 6 years ago
- Logarithmic Reinforcement Learning☆26Updated 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
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"☆23Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 5 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- ☆43Updated 5 years ago
- A collection of code investigating the use of information theory for abstractions in RL☆16Updated 6 years ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 4 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 8 months ago
- Modular PyTorch implementation of policy gradient methods☆25Updated 6 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago