TianhongDai / reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
☆675Updated 4 years ago
Alternatives and similar repositories for reinforcement-learning-algorithms:
Users that are interested in reinforcement-learning-algorithms are comparing it to the libraries listed below
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,064Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆744Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆564Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,203Updated 2 weeks ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,164Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆632Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆329Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆726Updated 2 years ago
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆439Updated 6 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆645Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 5 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆597Updated 6 years ago
- Collection of reinforcement learning algorithms☆2,631Updated 9 months ago
- A collection of multi agent environments based on OpenAI gym.☆596Updated 8 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆449Updated 3 years ago
- PyTorch implementation of soft actor critic☆864Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆541Updated 5 months ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,258Updated 5 years ago
- Soft Actor-Critic☆1,060Updated last year
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆622Updated 3 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆408Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,616Updated 3 years ago