Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
☆218Dec 27, 2022Updated 3 years ago
Alternatives and similar repositories for learning_to_adapt
Users that are interested in learning_to_adapt 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
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Dec 1, 2022Updated 3 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆876Dec 27, 2022Updated 3 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆532Nov 22, 2022Updated 3 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Feb 14, 2019Updated 7 years ago
- ☆13Mar 16, 2023Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63May 20, 2020Updated 5 years ago
- ☆99Mar 24, 2023Updated 2 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,749Jan 20, 2026Updated last month
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆473Jul 6, 2023Updated 2 years ago
- ☆345Jan 24, 2018Updated 8 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35May 17, 2019Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆254May 3, 2020Updated 5 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆309Apr 13, 2023Updated 2 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- ☆398Jul 18, 2019Updated 6 years ago
- ☆33Aug 30, 2024Updated last year
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆199Mar 15, 2023Updated 2 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆50Jun 22, 2022Updated 3 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆448Mar 13, 2025Updated 11 months 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
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆232Dec 27, 2022Updated 3 years ago
- Multitask Environments for RL☆281Aug 23, 2021Updated 4 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆560Jun 26, 2023Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆196Dec 8, 2022Updated 3 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆374Oct 15, 2021Updated 4 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,082May 4, 2023Updated 2 years ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆375Nov 22, 2022Updated 3 years ago
- ☆113Jan 12, 2020Updated 6 years ago
- RAD: Reinforcement Learning with Augmented Data☆416Mar 29, 2021Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Mar 6, 2021Updated 4 years ago
- Library for Model Based RL☆1,048Jul 12, 2024Updated last year