parthchadha / upsideDownRLLinks
Implementation of "Training Agents using Upside-Down Reinforcement Learning (https://arxiv.org/pdf/1912.02877.pdf)"
☆17Updated 5 years ago
Alternatives and similar repositories for upsideDownRL
Users that are interested in upsideDownRL are comparing it to the libraries listed below
Sorting:
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆129Updated 6 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆55Updated 8 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆24Updated 6 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆34Updated 5 years ago
- ☆43Updated 7 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- ☆43Updated 8 years ago
- ☆31Updated 6 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆255Updated 2 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Updated 7 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- ☆62Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆55Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- ☆90Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Modular multitask reinforcement learning with policy sketches☆110Updated 4 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago