Code for the paper "Meta-Learning Shared Hierarchies"
☆619Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for mlsh
Users that are interested in mlsh are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆309Apr 13, 2023Updated 3 years ago
- Code for hierarchical imitation learning and reinforcement learning☆300Mar 14, 2018Updated 8 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆835Apr 2, 2023Updated 3 years ago
- Code for the paper "Evolved Policy Gradients"☆254Nov 22, 2018Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆93Apr 17, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "Generative Adversarial Imitation Learning"☆730Nov 22, 2018Updated 7 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆268Oct 24, 2019Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆438Nov 28, 2023Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆273May 20, 2020Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,479Dec 7, 2022Updated 3 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,634Oct 31, 2019Updated 6 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆408Oct 7, 2023Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆276Apr 18, 2020Updated 6 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆829Aug 12, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆347Nov 22, 2018Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆184Sep 21, 2017Updated 8 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,726Aug 1, 2024Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,064Jun 10, 2023Updated 3 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,171Apr 2, 2023Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,901May 29, 2022Updated 4 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆977Jan 11, 2019Updated 7 years ago
- ☆119Jul 9, 2020Updated 5 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆81Nov 22, 2017Updated 8 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.
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆665Sep 6, 2019Updated 6 years ago
- Code for the paper "Exploration by Random Network Distillation"☆933Oct 1, 2020Updated 5 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,124Oct 13, 2017Updated 8 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆669Jan 19, 2023Updated 3 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,025Mar 13, 2019Updated 7 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆63May 6, 2019Updated 7 years ago
- Collection of reinforcement learning algorithms☆2,904Jun 17, 2024Updated last year
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Mar 25, 2018Updated 8 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆882Dec 27, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Nov 1, 2017Updated 8 years ago
- Reinforcement Learning in PyTorch☆2,279Jan 4, 2021Updated 5 years ago
- This is my implementation of the Optimality Tightening☆37Apr 26, 2017Updated 9 years ago
- TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper☆551Mar 7, 2019Updated 7 years ago
- Soft Actor-Critic☆1,270Nov 29, 2023Updated 2 years ago
- Guided Policy Search☆599Feb 9, 2021Updated 5 years ago
- Code for "One-Shot Visual Imitation Learning via Meta-Learning"☆290Oct 8, 2018Updated 7 years ago