maxent-learner-hw
f-IRL
maxent-learner-hw | f-IRL | |
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1 | 2 | |
9 | 35 | |
- | - | |
2.4 | 1.8 | |
about 2 months ago | 10 months ago | |
Haskell | Python | |
LicenseRef-GPL | MIT License |
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maxent-learner-hw
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Best UI Toolkit for generating UI elements at runtime
Example usage: https://github.com/george-steel/maxent-learner
f-IRL
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Can you use the reward learned in generative adversarial imitation learning in order to train from scratch?
Code for https://arxiv.org/abs/2011.04709 found: https://github.com/twni2016/f-IRL
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How to pretrain a model on expert data?
Try using an imitation learning algorithm. Two popular options are MaxEnt IRL and GAIL. This repository has GAIL implementation and this repository has MaxEnt IRL and GAIL implementation. There are other implementations too that you can check out.
What are some alternatives?
threepenny-gui - GUI framework that uses the web browser as a display.
Meta-SAC - Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
nixos-manager - Manage your NixOS packages and configuration via a simple, intuitive UI
falken - Falken provides developers with a service that allows them to train AI that can play their games
gi-atk - Generate Haskell bindings for GObject-Introspection capable libraries
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
ipa-dict - Monolingual wordlists with pronunciation information in IPA
eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
imitation - Clean PyTorch implementations of imitation and reward learning algorithms
tianshou - An elegant PyTorch deep reinforcement learning library.