AboudyKreidieh / h-baselines
A repository of high-performing hierarchical reinforcement learning models and algorithms.
☆281Updated last year
Related projects ⓘ
Alternatives and complementary repositories for h-baselines
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆296Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆396Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆271Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆331Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆328Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆515Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆377Updated 4 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆199Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆192Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆170Updated last year
- Lightweight multi-agent gridworld Gym environment☆198Updated last year
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆215Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- Code for the paper "Phasic Policy Gradient"☆252Updated last year
- ☆119Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆675Updated 2 years ago
- ☆190Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆192Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆156Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆198Updated 4 years ago
- Code for conservative Q-learning☆411Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 3 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆149Updated last year
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆215Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆400Updated 2 years ago