alshedivat / lolaLinks
Code release for Learning with Opponent-Learning Awareness and variations.
☆149Updated 2 years ago
Alternatives and similar repositories for lola
Users that are interested in lola 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)☆96Updated 7 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆178Updated 7 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161