haarnoja / sacLinks
Soft Actor-Critic
☆1,195Updated 2 years ago
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…☆1,391Updated 2 years ago
- PyTorch implementation of soft actor critic☆931Updated 5 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,267Updated 4 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆987Updated 7 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆658Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆582Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆782Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,843Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,324Updated 9 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,011Updated 2 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,057Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,310Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆653Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,193Updated 3 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆625Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆660Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,929Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆691Updated 3 weeks ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆614Updated 8 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆527Updated 3 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,306Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆686Updated 7 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆673Updated 6 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 4 years ago