ShawK91 / Evolutionary-Reinforcement-LearningLinks
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
☆232Updated 4 years ago
Alternatives and similar repositories for Evolutionary-Reinforcement-Learning
Users that are interested in Evolutionary-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆495Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 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…☆289Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆221Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- ☆120Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆155Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆52Updated 10 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆344Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆545Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- Multi-Objective Reinforcement Learning☆274Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆209Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆429Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Constrained Policy Optimization☆320Updated 7 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆209Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆200Updated 2 years ago