facebookresearch / adversarially-motivated-intrinsic-goalsLinks
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
☆63Updated last year
Alternatives and similar repositories for adversarially-motivated-intrinsic-goals
Users that are interested in adversarially-motivated-intrinsic-goals are comparing it to the libraries listed below
Sorting:
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 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
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- ☆84Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆126Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- impact-driven-exploration☆131Updated last year
- Library to compare and evaluate reward functions☆67Updated last year
- ☆87Updated 4 years ago
- krazy grid world☆25Updated 5 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆44Updated 6 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated last year
- ☆86Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 6 years ago
- ☆80Updated last year
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 5 years ago
- Reinforcement Learning with Latent Flow☆44Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago