Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
☆20Feb 14, 2019Updated 7 years ago
Alternatives and similar repositories for rand_param_envs
Users that are interested in rand_param_envs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Apr 28, 2019Updated 6 years ago
- ☆33Aug 30, 2024Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆55Dec 4, 2023Updated 2 years ago
- ☆10Oct 15, 2020Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Accompanying repository for Unsupervised Active Domain Randomization in Goal-Directed RL☆12Aug 4, 2020Updated 5 years ago
- The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…☆31Nov 20, 2020Updated 5 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63May 20, 2020Updated 5 years ago
- ViViDex implementation under the MuJoCo simulator, ICRA 2025☆19Apr 9, 2025Updated last year
- Code for Policy Consolidation for Continual Reinforcement Learning☆10May 12, 2019Updated 6 years ago
- ☆13Mar 16, 2023Updated 3 years ago
- Minimal RLHF implementation built on top of minGPT.☆32Jul 4, 2024Updated last year
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Nov 19, 2021Updated 4 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.
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆21Jun 1, 2022Updated 3 years ago
- ☆44Oct 27, 2018Updated 7 years ago
- Official code repository for Prompt-DT.☆122Aug 3, 2022Updated 3 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13May 2, 2024Updated last year
- ☆17Aug 20, 2025Updated 7 months ago
- Python library to control GX11(Dexterous Hand) and EX12(Exoskeleton Glove)☆15Aug 30, 2025Updated 7 months ago
- A python module designed for agile RL algorithm developing.☆26Jul 11, 2024Updated last year
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Mar 6, 2021Updated 5 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆31Mar 24, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Affordance Learning for End-to-End Visuomotor Robot Control☆17Apr 8, 2019Updated 7 years ago
- Code to train RL agents along with Adversarial distrubance agents☆66Mar 21, 2017Updated 9 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Jul 4, 2019Updated 6 years ago
- ☆14Mar 5, 2024Updated 2 years ago
- ☆31Feb 20, 2021Updated 5 years ago
- Soccer toy example simulator used in Reinforcement Learning☆12Mar 11, 2018Updated 8 years ago
- ☆13Jul 2, 2025Updated 9 months ago
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆24Mar 5, 2026Updated last month
- ☆14Aug 10, 2019Updated 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 and start building anything your business needs.
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆67May 8, 2023Updated 2 years ago
- Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.☆25Sep 26, 2020Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago
- ☆88Jul 30, 2024Updated last year
- ☆10Aug 8, 2021Updated 4 years ago
- Implementation of Robust Adversarial Reinforcement Learning☆14Nov 27, 2017Updated 8 years ago
- Implementation of vanilla stochaistic (categorical) policy gradient algorithm to play cartpole.☆16Apr 1, 2021Updated 5 years ago