DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
☆347Mar 25, 2023Updated 2 years ago
Alternatives and similar repositories for DeepRL_Algorithms
Users that are interested in DeepRL_Algorithms are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of deep reinforcement learning algorithms☆491Nov 19, 2021Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆315Sep 28, 2022Updated 3 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆692Dec 18, 2025Updated 2 months ago
- Reinforcement Learning Algorithms Based on PyTorch☆452Oct 21, 2021Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆231Jul 10, 2022Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,335Mar 13, 2025Updated 11 months ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Aug 8, 2021Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,272Feb 9, 2021Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Dec 18, 2020Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆314Jul 25, 2024Updated last year
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆675Jul 16, 2022Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆295Feb 24, 2021Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆733Apr 12, 2023Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,576Mar 24, 2023Updated 2 years ago
- The code for maddpg using pytorch☆168Oct 5, 2020Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆178Dec 8, 2022Updated 3 years ago
- 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2☆606Jun 4, 2022Updated 3 years ago
- ☆187Feb 22, 2022Updated 4 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆997May 30, 2025Updated 9 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Oct 5, 2022Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆336Nov 24, 2021Updated 4 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082May 19, 2021Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆773Dec 22, 2023Updated 2 years ago
- PyTorch implementation of soft actor critic☆936Jul 17, 2025Updated 7 months ago
- 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…☆988Jun 17, 2021Updated 4 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Nov 21, 2022Updated 3 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Jul 19, 2022Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆321Jan 11, 2024Updated 2 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆215Mar 15, 2023Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,926Jul 25, 2024Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆531Nov 22, 2022Updated 3 years ago
- Structural implementation of RL key algorithms☆516Apr 8, 2023Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆456Apr 2, 2023Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785May 29, 2022Updated 3 years ago
- Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.☆17Jun 23, 2021Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Mar 19, 2021Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆102May 12, 2025Updated 9 months ago
- A curated list of awesome Deep Reinforcement Learning resources.☆870Jul 13, 2025Updated 7 months ago