sfujim / TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
☆1,707Updated last year
Related projects ⓘ
Alternatives and complementary repositories for TD3
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,216Updated 11 months ago
- Python Multi-Agent Reinforcement Learning framework☆1,875Updated last year
- PyTorch implementation of soft actor critic☆814Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,120Updated 11 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,107Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,498Updated 4 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,310Updated 3 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆1,709Updated 4 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,103Updated 8 months ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,640Updated 7 months ago
- Soft Actor-Critic☆999Updated 11 months ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆572Updated 6 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,594Updated 2 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,459Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆860Updated 3 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆665Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆617Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆671Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆615Updated 6 years ago
- A collection of reference environments for offline reinforcement learning☆1,334Updated this week
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆642Updated 7 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆665Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆668Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,375Updated 7 months ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,868Updated 9 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆706Updated 10 months ago