yoonholee / reinforcement-learning-papersLinks
My notes on reinforcement learning papers
☆15Updated 7 years ago
Alternatives and similar repositories for reinforcement-learning-papers
Users that are interested in reinforcement-learning-papers are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- ☆43Updated 8 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Implementation of PPO in Pytorch☆41Updated 7 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Updated 6 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- ☆65Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 5 years ago
- ☆43Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- ☆44Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 7 years ago
- ☆83Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 2 years ago
- Modular multitask reinforcement learning with policy sketches☆109Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆62Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- some common TD Learning algorithms☆66Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 5 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Code to train RL agents along with Adversarial distrubance agents☆65Updated 8 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆148Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago