haarnoja / sacLinks
Soft Actor-Critic
☆1,123Updated last year
Alternatives and similar repositories for sac
Users that are interested in sac are comparing it to the libraries listed below
Sorting:
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,321Updated last year
- PyTorch implementation of soft actor critic☆897Updated 2 weeks ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆948Updated 2 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,233Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,916Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,732Updated last year
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆616Updated 6 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,063Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,267Updated 4 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆709Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆760Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,283Updated 5 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆555Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,031Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆665Updated 7 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆640Updated last year
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆412Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆636Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆719Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆496Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago