☆44Oct 27, 2018Updated 7 years ago
Alternatives and similar repositories for maesn_suite
Users that are interested in maesn_suite are comparing it to the libraries listed below
Sorting:
- 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
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Dec 1, 2022Updated 3 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Nov 26, 2020Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35May 17, 2019Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- ☆13Mar 16, 2023Updated 2 years ago
- Guided-Meta Policy Search☆39Jan 19, 2023Updated 3 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Jun 13, 2022Updated 3 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Feb 13, 2023Updated 3 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆17Dec 7, 2019Updated 6 years ago
- ☆33Aug 30, 2024Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Feb 14, 2019Updated 7 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆67Apr 30, 2021Updated 4 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆876Dec 27, 2022Updated 3 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆117Dec 13, 2019Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Codes for Evolving Plastic ANNs☆14Dec 18, 2022Updated 3 years ago
- Public accompanying repository for Universite de Montreal's IFT 6757: Autnonomous Vehicles, Fall 2019.☆12Jun 21, 2022Updated 3 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Nov 4, 2018Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆69Jun 5, 2020Updated 5 years ago
- ☆10Apr 2, 2018Updated 7 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- Code for the paper "Evolved Policy Gradients"☆253Nov 22, 2018Updated 7 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Jun 6, 2019Updated 6 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Jun 17, 2019Updated 6 years ago
- ☆26Mar 16, 2023Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Sep 24, 2019Updated 6 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Dec 4, 2023Updated 2 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Mar 14, 2019Updated 6 years ago
- akid is a python package written for doing research in Neural Network.☆14Mar 24, 2023Updated 2 years ago
- PyTorch implementation of DARLA preprocessing models☆11Jan 30, 2018Updated 8 years ago
- ☆86Apr 10, 2021Updated 4 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Aug 6, 2019Updated 6 years ago
- ☆26Apr 12, 2018Updated 7 years ago