haarnoja / sac
Soft Actor-Critic
☆1,056Updated last year
Alternatives and similar repositories for sac:
Users that are interested in sac are comparing it to the libraries listed below
- PyTorch implementation of soft actor critic☆860Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,823Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,177Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆640Updated 6 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆723Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,196Updated last week
- Collection of reinforcement learning algorithms☆2,622Updated 9 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆742Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆325Updated 5 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,257Updated 5 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆613Updated 5 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆901Updated 2 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆532Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆563Updated 7 years ago
- Python Multi-Agent Reinforcement Learning framework☆1,975Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆673Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆596Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆617Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆634Updated 2 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆408Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆438Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆484Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,172Updated last year
- Implementation of benchmark RL algorithms☆467Updated 2 years ago