lnpalmer / PPOLinks
PyTorch implementation of Proximal Policy Optimization
☆53Updated 8 years ago
Alternatives and similar repositories for PPO
Users that are interested in PPO are comparing it to the libraries listed below
Sorting:
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆154Updated 8 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Meta Reinforcement Learning Experiments☆35Updated 8 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 8 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- Deep Variational Reinforcement Learning☆139Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆139Updated last year
- Proximal Policy Optimization in PyTorch☆39Updated 8 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- ☆44Updated 7 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 5 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆218Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 7 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆129Updated 6 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆173Updated 4 years ago
- ☆35Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 8 years ago