ghliu / pytorch-ddpgLinks
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
☆624Updated 7 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 DDPG algorithm for continuous action reinforcement learning problem.☆419Updated 4 years ago
- Simple A3C implementation with pytorch + multiprocessing☆657Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆685Updated 7 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆614Updated 8 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆550Updated 7 years ago
- PyTorch implementation of soft actor critic☆926Updated 5 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆780Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,261Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆670Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Soft Actor-Critic☆1,193Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆422Updated 8 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,381Updated 2 years ago
- Implementation of benchmark RL algorithms☆472Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆651Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,306Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆577Updated 4 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆313Updated 4 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,005Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆411Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆690Updated this week
- PyTorch implementation of SAC-Discrete.☆312Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Updated 3 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆572Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,317Updated 9 months ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆372Updated 6 years ago