sfujim / TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
☆1,823Updated last year
Alternatives and similar repositories for TD3:
Users that are interested in TD3 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…☆1,275Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,196Updated last week
- Soft Actor-Critic☆1,056Updated last year
- Python Multi-Agent Reinforcement Learning framework☆1,975Updated 2 years ago
- PyTorch implementation of soft actor critic☆860Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,713Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,177Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,622Updated 9 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆1,944Updated 8 months ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆596Updated 6 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,257Updated 5 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,535Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,486Updated 8 months ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,187Updated last year
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,224Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆742Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,748Updated 11 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆723Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,607Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆563Updated 7 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆492Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆617Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆634Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆725Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆640Updated 6 years ago