Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.
☆248Sep 30, 2022Updated 3 years ago
Alternatives and similar repositories for ProMP
Users that are interested in ProMP are comparing it to the libraries listed below
Sorting:
- 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
- ☆44Oct 27, 2018Updated 7 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago
- Guided-Meta Policy Search☆39Jan 19, 2023Updated 3 years ago
- 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
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- ICML 2018 Self-Imitation Learning☆278Apr 18, 2020Updated 5 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Dec 4, 2023Updated 2 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Feb 13, 2023Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Jul 26, 2019Updated 6 years ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,749Jan 20, 2026Updated last month
- Collection of reinforcement learning algorithms☆2,867Jun 17, 2024Updated last year
- Code for the paper "Evolved Policy Gradients"☆253Nov 22, 2018Updated 7 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆374Oct 15, 2021Updated 4 years ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆66Apr 30, 2021Updated 4 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆348Nov 22, 2018Updated 7 years ago
- A toolkit for reproducible reinforcement learning research.☆2,082May 4, 2023Updated 2 years ago
- Implementation of Meta-RL A3C algorithm☆407Feb 22, 2017Updated 9 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆74Apr 29, 2019Updated 6 years ago
- ☆99Mar 24, 2023Updated 2 years ago
- Python3 ROS Interface to Rethink Sawyer Robots with OpenAI Gym Compatibility☆62Apr 13, 2019Updated 6 years ago
- Multitask Environments for RL☆281Aug 23, 2021Updated 4 years ago
- Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments☆16Apr 17, 2019Updated 6 years ago
- Reinforcement Learning in PyTorch☆2,275Jan 4, 2021Updated 5 years ago
- rllab's viskit with some added features☆73May 1, 2023Updated 2 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆309Apr 13, 2023Updated 2 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27May 11, 2021Updated 4 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Solving reinforcement learning tasks which require language and vision☆33Apr 4, 2023Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆473Jul 6, 2023Updated 2 years ago
- Implementation of TRPO and related algorithms☆647May 20, 2018Updated 7 years ago
- PyTorch implementation of DARLA preprocessing models☆11Jan 30, 2018Updated 8 years ago