haarnoja / sac
Soft Actor-Critic
☆1,039Updated last year
Alternatives and similar repositories for sac:
Users that are interested in sac are comparing it to the libraries listed below
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,268Updated last year
- PyTorch implementation of soft actor critic☆852Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,155Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,790Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆546Updated 7 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆682Updated last year
- Collection of reinforcement learning algorithms☆2,591Updated 8 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆891Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC)☆526Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆629Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆730Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,244Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,178Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆672Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆714Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆633Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆483Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆590Updated 6 years ago
- A collection of reference environments for offline reinforcement learning☆1,414Updated 3 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆483Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆588Updated 7 months ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆603Updated 5 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆668Updated 9 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,602Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆435Updated 6 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,153Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆316Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆692Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆607Updated 3 years ago