andrew-j-levy / Hierarchical-Actor-Critc-HAC-Links
This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
☆259Updated 5 years ago
Alternatives and similar repositories for Hierarchical-Actor-Critc-HAC-
Users that are interested in Hierarchical-Actor-Critc-HAC- are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆316Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆311Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 9 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆494Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago
- ☆272Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆491Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆545Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆208Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆200Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆221Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- ☆196Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆351Updated 2 years ago