ghliu / pytorch-ddpgLinks
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
☆615Updated 6 years ago
Alternatives and similar repositories for pytorch-ddpg
Users that are interested in pytorch-ddpg are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of soft actor critic☆885Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆664Updated 7 years ago
- Simple A3C implementation with pytorch + multiprocessing☆644Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆586Updated 7 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆752Updated 3 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆521Updated 7 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,307Updated last year
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆412Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,280Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆552Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆637Updated 5 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆344Updated 5 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆562Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,888Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,223Updated 4 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆402Updated 7 years ago
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- PyTorch implementation of Trust Region Policy Optimization☆442Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,255Updated 3 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆703Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆755Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,039Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆631Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆305Updated 10 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆680Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago