Rmko4/RL-On-Policy-Actor-Critic

Deep Reinforcement Learning: On-Policy Actor Critic methods. An implementation of Advantage Actor-Critic (A2C) and Proximal Policy Optimization (PPO) on the PyTorch Lightning framework.

Language: Python - Size: 4.89 MB - Last synced: 19 days ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

Subramanyam6/A-Comprehensive-Review-on-RL-DL-in-Multi-Agent-Systems

Size: 619 KB - Last synced: 29 days ago - Pushed: 30 days ago - Stars: 2 - Forks: 0

n1ghtf4l1/cautious-octo-disco

Implemented the Actor-Critic method using TensorFlow to train an agent on the Open AI Gym CartPole-V0 environment.

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IDSIA/rtrl-elstm

Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)

Language: Python - Size: 102 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 2

lorenzomancini1/DeepRL

Implementations of some of the most well known Deep Reinforcement Learning algorithms

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rafonsor/unRL

unRL (AKA "unreal") is a set of libraries providing Reinforcement Learning algorithms implemented in PyTorch or Jax.

Language: Python - Size: 354 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

nitish-kalan/CartPole-v1-Actor-Critic-Keras

Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm

Language: Python - Size: 605 KB - Last synced: 8 months ago - Pushed: about 4 years ago - Stars: 10 - Forks: 5

philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Language: Python - Size: 7.81 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 207 - Forks: 62

ustyuzhaninky/OSAR-keras

Objective Stimuli Active Repeater

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gd-zhang/ACKTR

Actor Critic using Kronecker-Factored Trust Region

Language: Python - Size: 77.1 KB - Last synced: 10 months ago - Pushed: almost 6 years ago - Stars: 18 - Forks: 3

TanushGoel/Atari-Games-RL

A collection of ipython notebooks in which agents learn to play Atari games in Open AI gym environments using different methods of reinforcement learning.

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abhilash1910/Deep_Reinforcement_Learning_Trading

Deep Reinforcement Learning for Trading

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SwamiKannan/Reinforcement-Learning-Specialization

Programming Assignments for Reinforcement Learning Specialization

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ken-power/DRLND_ContinuousControl

Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.

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kanji95/Topics-in-Machine-Learning-CS7.502

Topics in Machine Learning @ IIIT Hyderabad (Fall 2021)

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being-aerys/Reinforcement-Learning-Self-Projects

Fun with Reinforcement Learning in my spare time

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mynkpl1998/A3C

This repository contains high quality and tested implementation of Asynchronous Actor Critic Algorithm

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hmisra/Reacher-DDPG

A model to control a double-jointed arm to reach target using Deep Deterministic Policy Gradients

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