Topic: td3 Goto Github
Some thing interesting about td3
Some thing interesting about td3
td3,Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Organization: agentmaker
td3,Massively Parallel Deep Reinforcement Learning. 🔥
Organization: ai4finance-foundation
Home Page: https://ai4finance.org
td3,Robot navigation using deep reinforcement learning
User: barry2333
td3,Accelerating Quadratic Optimization with Reinforcement Learning
Organization: berkeleyautomation
Home Page: https://BerkeleyAutomation.github.io/rlqp
td3,PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)
User: chaovven
td3,road-map & paper review for Reinforcement Learning
User: cun-bjy
td3,Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
User: cyoon1729
td3,强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Organization: datawhalechina
td3,The implement of the policy gradient RL algorithm with pytorch
User: deligentfool
td3,PyTorch implementation of deep reinforcement learning algorithms
User: dongminlee94
td3,JAX implementations of core Deep RL algorithms
User: henry-prior
td3,Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
User: iffix
td3,Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.
User: jason-cky
td3,RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
User: jianzhnie
Home Page: https://jianzhnie.github.io/machine-learning-wiki/#/deep-rl/
td3,Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
User: johannesack
Home Page: https://arxiv.org/pdf/1910.01465.pdf
td3,RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
User: karlxing
td3,Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)
User: kaymen99
td3,:umbrella: Deep RL agents with PyTorch:umbrella:
User: kngwyu
td3,Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
User: lqnew
td3,Pytorch implementation of large network design in continous control RL.
User: lqnew
td3,Lightweight deep RL Libraray for continuous control.
User: lqnew
td3,Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
User: lxzgordon
td3,Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
User: nikhilbarhate99
td3,ReLAx - Reinforcement Learning Applications Library
User: nslyubaykin
td3,a modular reinforcement learning library with JAX agents
User: perrin-isir
td3,A Torch Based RL Framework for Rapid Prototyping of Research Papers
User: philtabor
td3,Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
User: qasimwani
td3,Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
User: qasimwani
td3,32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
User: rafael1s
td3,Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
User: reiniscimurs
td3,DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
User: ritchiehuang
td3,Modularized Implementation of Deep RL Algorithms in PyTorch
User: shangtongzhang
td3,Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
User: sudharsan13296
Home Page: https://www.amazon.com/dp/1839210680/ref=cm_sw_r_tw_dp_x_0HRDFbW4MN11H
td3,Autonomous UAV Navigation without Collision using Visual Information in Airsim
User: sunghoonhong
td3,PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
User: sweetice
td3,An elegant PyTorch deep reinforcement learning library.
Organization: thu-ml
Home Page: https://tianshou.org
td3,Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
User: twni2016
Home Page: https://sites.google.com/view/pomdp-baselines
td3,Minimal Implementation of Deep RL Algorithms in PyTorch
User: user432
td3,DRL-based collision avoidance for turtlebot3
User: vinson-sheep
td3,A clean framework and implementations for reinforcement learning algorithms.
User: wzcai99
td3,Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
User: xinjinghao
td3,TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
User: xlnwel
td3,Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
User: zhengxinyue
td3,lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
User: zuoxingdong
td3,This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
User: zyunfeii
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