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The Top 23 Deep Learning Proximal Policy Optimization Open Source Projects

Open source projects categorized as Deep Learning Proximal Policy Optimization
Categories > Machine Learning > Deep Learning
Categories > Machine Learning > Proximal Policy Optimization
Cleanrl ⭐ 3,947
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
most recent commit 3 months ago
Pytorch A2c Ppo Acktr Gail ⭐ 3,450
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
most recent commit 2 years ago
Ppo Pytorch ⭐ 1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
most recent commit 5 months ago
Super Mario Bros Ppo Pytorch ⭐ 692
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
most recent commit 3 years ago
Autonomous Learning Library ⭐ 616
A PyTorch library for building deep reinforcement learning agents.
total releases 16most recent commit 5 months ago
Reinforcement Learning Algorithms ⭐ 407
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)
most recent commit 3 years ago
Lagom ⭐ 365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
most recent commit 4 years ago
Recurrent Ppo Truncated Bptt ⭐ 82
Baseline implementation of recurrent PPO using truncated BPTT
most recent commit 7 months ago
Autonomous Driving In Carla Using Deep Reinforcement Learning ⭐ 61
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
most recent commit a year ago
Imitation_learning ⭐ 56
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
most recent commit 2 years ago
Relational_deep_reinforcement_learning ⭐ 41
most recent commit 5 years ago
Ppo ⭐ 40
PyTorch implementation of Proximal Policy Optimization
most recent commit 6 years ago
Carla Driving Rl Agent ⭐ 39
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
most recent commit 2 years ago
Rl_matrix ⭐ 36
Reinforcement Learning Agents in .NET
most recent commit 3 months ago
Pop3d ⭐ 35
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
most recent commit 5 years ago
Ppo Pytorch ⭐ 35
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
most recent commit 5 years ago
Ppo_jax ⭐ 33
Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
most recent commit 2 years ago
Btc_rl_trading_bot ⭐ 14
A trading bitcoin agent was created with deep reinforcement learning implementations.
most recent commit 2 years ago
Reinforcement_learning_phasic_policy_gradient ⭐ 10
Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
most recent commit 3 years ago
Spacefortress ⭐ 9
OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206
most recent commit 2 years ago
Pysc2_rl ⭐ 9
most recent commit 6 years ago
Deep Rl ⭐ 8
You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.
most recent commit 2 years ago
Transportation Routes Optimization By Rl ⭐ 7
Application of reinforcement learning to Optimize transportation routes using reinforcement learning
most recent commit 2 years ago
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