alexis-jacq / LOLA_DiCE
Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
☆93Updated 6 years ago
Alternatives and similar repositories for LOLA_DiCE:
Users that are interested in LOLA_DiCE are comparing it to the libraries listed below
- Code release for Learning with Opponent-Learning Awareness and variations.☆146Updated last year
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 6 years ago
- ☆65Updated 11 months ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- ☆43Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- ☆35Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆151Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆181Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- NIPS 2017 Value Prediction Network☆165Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- ☆41Updated 6 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Meta Reinforcement Learning Experiments☆33Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆175Updated 7 years ago
- ☆44Updated 6 years ago