Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
☆27May 11, 2021Updated 5 years ago
Alternatives and similar repositories for maml-rl-tf2
Users that are interested in maml-rl-tf2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 4 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆38Dec 12, 2020Updated 5 years ago
- TRPO Implementation in Tensorflow 2.0 for Reinforcement Learning Project @ Sapienza☆16Mar 25, 2023Updated 3 years ago
- PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two …☆15Sep 2, 2020Updated 6 years ago
- Tensorflow implementation of SNAIL and RL2☆11Aug 17, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of MAML and Reptile algorithms with a JS demo on the sine regression toy experiment☆16May 1, 2021Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆45Nov 15, 2018Updated 7 years ago
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆17Mar 30, 2021Updated 5 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆17Dec 7, 2019Updated 6 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆886Dec 27, 2022Updated 3 years ago
- A TensorFlow 2.0 with eager execution implementation of Pytorch OpenAI few-shot regression toy example☆16Jun 24, 2019Updated 7 years ago
- TensorFlow 2.0 implementation of MAML.☆83Jul 12, 2019Updated 7 years ago
- Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"☆37Oct 26, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Meta Reinforcement Learning Experiments☆35Aug 22, 2017Updated 9 years ago
- A collection of meta-learning algorithms in Jax☆24Sep 3, 2022Updated 4 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 6 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆672Jan 19, 2023Updated 3 years ago
- PyTorch implementation for our paper "Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation"☆14Apr 19, 2023Updated 3 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Jul 23, 2018Updated 8 years ago
- a implement of meta-RL☆62Mar 30, 2017Updated 9 years ago
- ☆14Sep 14, 2020Updated 6 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Mar 14, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Fleet Management Simulation Framework☆33Feb 24, 2019Updated 7 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆34Oct 6, 2022Updated 4 years ago
- A meta-learning framework for few-shot graph learning☆20Mar 1, 2023Updated 3 years ago
- linear MPC based on OSQP☆10Aug 22, 2022Updated 4 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Feb 1, 2023Updated 3 years ago
- MAML implementation (tensorflow)☆15Apr 25, 2019Updated 7 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆241Jul 7, 2020Updated 6 years ago
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆21Sep 18, 2020Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A pathway and collection of resources to learning Jax from beginning to advance.☆11Jan 2, 2021Updated 5 years ago
- Assorted Gazebo plugins I've written over the years☆12Aug 25, 2019Updated 7 years ago
- Meta-SGD Algorithms Implementation☆22Jul 18, 2024Updated 2 years ago
- Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codal…☆39Jul 15, 2019Updated 7 years ago
- The Intermediate Goal of the project is to train a GPT like architecture to learn to summarise reddit posts from human preferences, as th…☆12Jul 14, 2021Updated 5 years ago
- Code of Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts (EMNLP Findings 2025)☆10May 29, 2024Updated 2 years ago
- A well-documented A2C written in PyTorch☆53Jun 3, 2019Updated 7 years ago