Taming MAML: efficient unbiased meta-reinforcement learning
☆30Sep 30, 2022Updated 3 years ago
Alternatives and similar repositories for taming-maml
Users that are interested in taming-maml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆44Oct 27, 2018Updated 7 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 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…☆11Mar 28, 2022Updated 4 years ago
- A curated list of awesome Meta Reinforcement Learning☆33May 7, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 4 years ago
- Imitation learning from multiple experts☆13Aug 29, 2022Updated 3 years ago
- Codes for Evolving Plastic ANNs☆14Dec 18, 2022Updated 3 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆34Feb 16, 2020Updated 6 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14May 23, 2021Updated 4 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆877Dec 27, 2022Updated 3 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Jun 17, 2019Updated 6 years ago
- A simple RNN meta-learner☆10Dec 17, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆17Dec 7, 2019Updated 6 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆12Dec 7, 2021Updated 4 years ago
- ☆13Mar 16, 2023Updated 3 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Dec 1, 2022Updated 3 years ago
- Guided-Meta Policy Search☆39Jan 19, 2023Updated 3 years ago
- Code release for the paper "Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control"☆17Apr 9, 2024Updated last year
- ☆14Jun 26, 2019Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Meta Reinforcement Learning Experiments☆35Aug 22, 2017Updated 8 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆45Nov 30, 2022Updated 3 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- ☆19Aug 9, 2022Updated 3 years ago
- Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"☆36Oct 26, 2020Updated 5 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- code for the paper Imitation Learning from Observation with Automatic Discount Scheduling☆13Mar 27, 2024Updated 2 years ago
- Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…☆12Aug 24, 2018Updated 7 years ago
- ☆14May 31, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆18Dec 6, 2021Updated 4 years ago
- ☆40Sep 30, 2023Updated 2 years ago
- Learning to predict crop type from heterogeneous sparse labels using meta-learning☆20Jun 17, 2021Updated 4 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆59Mar 28, 2019Updated 7 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Feb 13, 2023Updated 3 years ago
- Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…☆14Mar 21, 2019Updated 7 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆310Apr 13, 2023Updated 2 years ago