PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
☆338Nov 24, 2021Updated 4 years ago
Alternatives and similar repositories for Hierarchical-Actor-Critic-HAC-PyTorch
Users that are interested in Hierarchical-Actor-Critic-HAC-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆272May 20, 2020Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆337Mar 24, 2023Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆116May 22, 2021Updated 4 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆36Jul 6, 2022Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆145Aug 2, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆543Nov 22, 2022Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆42May 16, 2020Updated 5 years ago
- ☆25Dec 8, 2022Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 5 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Aug 6, 2019Updated 6 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆89Nov 22, 2017Updated 8 years ago
- Collection of reinforcement learning algorithms☆2,899Jun 17, 2024Updated last year
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆256May 3, 2020Updated 6 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆322Jan 11, 2024Updated 2 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.
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆746May 23, 2022Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆112Jun 13, 2022Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆47Dec 10, 2021Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆316Jul 25, 2024Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆805May 29, 2022Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,064Jul 14, 2023Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆101May 12, 2025Updated 11 months ago
- Reinforcement learning library for PyTorch.☆11Jun 15, 2018Updated 7 years ago
- Implementation practice of RL project, the second phase☆26Oct 3, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆694Dec 18, 2025Updated 4 months ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Feb 1, 2023Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆746Apr 12, 2023Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,898May 29, 2022Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆782Dec 22, 2023Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆723May 12, 2024Updated last year
- Structural implementation of RL key algorithms☆517Apr 8, 2023Updated 3 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆49Feb 23, 2019Updated 7 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Jan 12, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reinforcement Learning in PyTorch☆2,274Jan 4, 2021Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,281Feb 9, 2021Updated 5 years ago
- Implementation of the Option-Critic Architecture☆42Dec 9, 2018Updated 7 years ago
- DGN Code☆369Mar 25, 2023Updated 3 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆458Mar 13, 2025Updated last year
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆446Dec 11, 2021Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆147Mar 12, 2023Updated 3 years ago