Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
☆22Jan 9, 2020Updated 6 years ago
Alternatives and similar repositories for p3s
Users that are interested in p3s are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR'20] Learning to Learn by Zeroth-Order Oracle☆14Feb 7, 2020Updated 6 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Nov 26, 2020Updated 5 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆46Oct 29, 2020Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Jun 24, 2020Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Nov 17, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆14Jun 26, 2019Updated 6 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Oct 14, 2020Updated 5 years ago
- ☆71Jan 3, 2023Updated 3 years ago
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 6 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Sep 2, 2024Updated last year
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Nov 22, 2022Updated 3 years ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56May 9, 2022Updated 3 years ago
- using information theory to encourage agents to cooperate and compete☆19Oct 4, 2018Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆15Sep 25, 2019Updated 6 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆14Feb 3, 2023Updated 3 years ago
- Adaptable Agent Populations via a Generative Model of Policies☆12Oct 14, 2021Updated 4 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆19Jul 17, 2018Updated 7 years ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆56Jul 25, 2024Updated last year
- Guided policy search in Python and ROS Indigo.☆26Feb 12, 2026Updated 2 months ago
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies☆29May 30, 2022Updated 3 years ago
- DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It a…☆10Oct 13, 2020Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆22Oct 26, 2018Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 5 years ago
- ☆80Oct 3, 2023Updated 2 years ago
- A minimal Unreal Engine project for developing and testing UnrealCV☆17Nov 8, 2018Updated 7 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Nov 6, 2020Updated 5 years ago
- Bayesian Regression Models using pymc3☆11Feb 4, 2017Updated 9 years ago
- Inverse Reinforcement learning proof-of-concept using the Guided Cost/Reward Learning approach☆10Mar 23, 2020Updated 6 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Dec 4, 2022Updated 3 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆22Jul 25, 2018Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Aug 11, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Feb 1, 2020Updated 6 years ago
- ☆17Dec 12, 2020Updated 5 years ago
- An open-source framework for benchmarking of feature selection algorithms and cost functions.☆10Mar 6, 2020Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆29Mar 27, 2021Updated 5 years ago
- (NeurIPS 2025) LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search☆23Mar 9, 2026Updated last month
- An open source reinforcement learning codebase with a variety of intrinsic exploration methods implemented in PyTorch.☆11Feb 6, 2023Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Oct 3, 2022Updated 3 years ago