AboudyKreidieh / h-baselines
A repository of high-performing hierarchical reinforcement learning models and algorithms.
☆297Updated 2 years ago
Alternatives and similar repositories for h-baselines:
Users that are interested in h-baselines are comparing it to the libraries listed below
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆301Updated 8 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆346Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆536Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆355Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆392Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆198Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆728Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆207Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆220Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆206Updated 5 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆227Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆618Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆203Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆191Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆332Updated 5 years ago
- ☆120Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆315Updated 7 months ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆588Updated 6 months ago
- ☆194Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Code for conservative Q-learning☆431Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆238Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.☆598Updated 9 months ago