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Search results for ppo reinforcement learning algorithms

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30 search results found

Deep Reinforcement Learning ⭐ 4,635

Repo for the Deep Reinforcement Learning Nanodegree program

Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

Purejaxrl ⭐ 460

Really Fast End-to-End Jax RL Implementations

Ppo For Beginners ⭐ 427

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-w

Pytorch Cpp Rl ⭐ 308

PyTorch C++ Reinforcement Learning

Xingtian ⭐ 282

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Tensorswarm ⭐ 69

TensorSwarm: A framework for reinforcement learning of robot swarms.

Reinforcement_learning ⭐ 62

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Pytorch Rl ⭐ 53

Pytorch Learn Reinforcement Learning ⭐ 42

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Rl_matrix ⭐ 36

Reinforcement Learning Agents in .NET

Distributed Ppo ⭐ 23

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

Rl Pytorch ⭐ 20

A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.

Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

A simple and neat implementation of reinforcement learning algorithms.

Pytorch-based python library for continuous reinforcement learning and imitation learning [superseded by @osudrl/apex]

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Deeprl Pytorch ⭐ 9

Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.

A Reinforcement Learning framework for the NAO robot

Rlin200lines ⭐ 9

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

Unstable_baselines ⭐ 8

A TF2.0 implementation of RL baselines.

Landing Starships ⭐ 8

Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)

Ppo Tensorflow 2.0 ⭐ 8

Proximal Policy Optimization with Tensorflow 2.0

[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning

Spacexreinforcementlearning ⭐ 6

SpaceX Falcon 9 simulated with Reinforcement Learning algorithms such as D4PG,SAC and PPO.

Wegs Drl Baselines ⭐ 5

Minimum viable reinforcement learning algorithms for your educational convenience.

Related Searches

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