veronicachelu / meta-learningLinks
Meta Reinforcement Learning Experiments
☆34Updated 8 years ago
Alternatives and similar repositories for meta-learning
Users that are interested in meta-learning are comparing it to the libraries listed below
Sorting:
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆80Updated 6 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- ☆35Updated 7 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- ☆43Updated 8 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆81Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆81Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 8 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago