senya-ashukha / quantile-regression-dqn-pytorchLinks
A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
☆94Updated 4 years ago
Alternatives and similar repositories for quantile-regression-dqn-pytorch
Users that are interested in quantile-regression-dqn-pytorch are comparing it to the libraries listed below
Sorting:
- 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
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- ☆44Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Deep Variational Reinforcement Learning☆136Updated 2 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 9 months ago
- ☆43Updated 8 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- ☆98Updated 2 years ago
- Revisiting Rainbow☆75Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Meta Reinforcement Learning Experiments☆34Updated 7 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 5 years ago
- Model-based Reinforcement Learning Framework☆114Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Implementation of PPO in Pytorch☆41Updated 7 years ago
- ☆35Updated 6 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆124Updated 5 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago