haarnoja / sacLinks
Soft Actor-Critic
☆1,113Updated 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…☆1,316Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆942Updated last month
- PyTorch implementation of soft actor critic☆894Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,228Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,259Updated 3 months ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆616Updated 6 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆706Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆757Updated last year
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆411Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆553Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆755Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆592Updated 7 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,898Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆664Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆496Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆646Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,281Updated 5 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,721Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆717Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,047Updated 2 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,028Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆634Updated 4 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆524Updated 7 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,227Updated last year
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆639Updated last year
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year