actor-critic-algorithm
There are 36 repositories under actor-critic-algorithm topic.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
BY571/Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
garlicdevs/Fruit-API
A Universal Deep Reinforcement Learning Framework
Phoenix-Shen/ReinforcementLearning
强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行
GioStamoulos/BTC_RL_Trading_Bot
A trading bitcoin agent was created with deep reinforcement learning implementations.
BY571/D4PG
PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
jekyllstein/Reinforcement-Learning-Sutton-Barto-Exercise-Solutions
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
kcg2015/DDPG_numpy_only
Implemenation of DDPG with numpy only (without Tensorflow)
nitish-kalan/CartPole-v1-Actor-Critic-Keras
Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm
XuehaiPan/Soft-Actor-Critic
PyTorch Implementation of Soft Actor-Critic Algorithm
imraviagrawal/Reinforcement-Learning-Implementation
Implementation of Reinforcement Algorithms from scratch
HYDesmondLiu/RUBICON
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
mkurovski/deep_rl_nanodegree
Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity
nima-siboni/simplest-world-Actor-Critic
Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world
AkshayS21/Reacher-Environment-Continuous-Control-with-DDPG-algorithm
Implementation of the DDPG algorithm to solve Continuous Control Reacher Environment
prajwalthakur/Projects
This Repository contains my projects!
RsGoksel/Reinforcement-Learning-PongGame
Reinforcement Learning - PPO (Proximal Policy Optimization) Implementation to Pong Game
amirhosseinh77/NN-Control
Control Methods for Dynamic Systems based on Neural Networks
SamYuen101234/chrome_dino_RL
A very detailed project of Chrome Dinosaur in Deep RL for beginners
VachanVY/Reinforcement-Learning
|| Studying RL the hard way || Implementation of Important Algorithms in PyTorch from "Reinforcement Learning an Introduction" by Sutton and Barto along with RL papers
kkothari93/ActorCritic-ECE586-Project
Implementation of the actor critic algorithm for MountainCarContinuous-v0 OpenAI gym environment.
meet-minimalist/Udacity-Deep-Learning-Project-5-Fly-Quadcopter
Fly Quadcopter using Deep Reinforcement Learning
rtharungowda/Soft-Actor-Critic-Pytorch
Implement soft actor critic in pytorch to play a game of balancing pendulum in openai gym.
SumanSudhir/Collaboration-and-Competition
Course Project of the course Foundation of Intelligent Learning Agent(CS747)
d-dawg78/MVA_RL
Master MVA - Reinforcement Learning Project
ganjalipour/Reinforcement-learning
Deep Q-Network, Actor-critic , Policy gradient implementation in python
joshGilstrap/A3C-Reinforcement-Learning
A reinforcement learning A3C implementation trained to play Super Mario Bros
kotsonis/ddpg-reacher
A Deep Deterministic Policy Gradient Actor-Critic reinforcement learning solution to the Unity-ML(Udacity) Reacher environment
shaheennabi/Reinforcement-or-Deep-Reinforcement-Learning-Practices-and-Mini-Projects
Reinforcement Learning (RL) 🤖! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. 🚀 Build smart agents, learn the math behind policies, and experiment with real-world applications! 🔥💡
vrona/BOT88
Self Driving Racing Car Agent (Deep Deterministic Policy Gradient algorithm)
ffardnof/Fictitious-Mean-field-Reinforcement-Learning
This simulator implements the "Fictitious Mean-field Reinforcement-Learning" for Q-learning, Actor Critic and Stochastic Gradient Ascent algorithms in a distributed system. The setting includes strategic agents who compete over a set of heterogenous servers. Through experiments, we show that it outperforms the naive deployment of each RL algorithm.
SwamiKannan/Reinforcement-Learning-Specialization
Programming Assignments for Reinforcement Learning Specialization