nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorchLinks
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
☆335Updated 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
Sorting:
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆334Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆269Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆530Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆586Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆368Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆456Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆188Updated last year
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆441Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆391Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 5 months ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆253Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆143Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆359Updated 6 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆168Updated 3 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆231Updated 3 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆213Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆249Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆215Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆415Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆239Updated 5 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago