GitHub topics: a2c-algorithm
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
Language: Jupyter Notebook - Size: 139 MB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 2,334 - Forks: 788
janenotjung-hue/wordle
Using Imitation Learning for a Wordle agent
Language: Jupyter Notebook - Size: 109 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
jakemaz66/Reinforcement_Learning_Algorithms
Custom implementations of RL algorithms that can solve complex tasks like Atari games
Language: Python - Size: 215 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
alerch97/Reinforcement-Learning-controller-for-a-DC-motor
Applying A2C-algorithm (Reinforcement Learning) for the control of a DC-motor
Language: Python - Size: 257 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
mafaldaaires/Reinforcement-Learning
Stable Baselines3
Language: Python - Size: 20.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AnuraagRath/A.I-learns-to-play-Atari-Breakout-ReinforcementLearning
Using the "Advantage Actor Critic(A2C)" Reinforcement Learning method, the 'Agent' is trained to play Atari's Breakout.
Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
vikrams169/Using-RL-in-CartPole-v0
This repository displays the use of Reinforcement Learning, specifically QLearning, REINFORCE, and Actor Critic (A2C) methods to play CartPole-v0 of OpenAI Gym.
Language: Python - Size: 150 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
joaobose/rl-sandbox
Personal sandbox project for testing reinforcement learning algorithms.
Language: Python - Size: 7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ZHONGJunjie86/Generating-Traffic-Flows-with-MARL
Accepted by AROB 2021. For letting agents in traffic simulation behave more like humans, we propose a unified mechanism for agents learn to decide various accelerations on deep reinforcement learning and generate a traffic flow behaving variously to simulate the real traffic flow.
Language: GAML - Size: 36 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0
kartik2309/RLPack
Implementation of RL Algorithms with PyTorch.
Language: Python - Size: 9.66 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
cubrink/mujoco-2.1-rl-project
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
Language: TeX - Size: 368 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2
SwamiKannan/Breakout-v0-using-Stable-Baselines
Solving the Atari Breakout environment using Stable Baselines
Language: Jupyter Notebook - Size: 161 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
klebster2/rl_stock_agent Fork of xtr33me/Reinforcement_Learning_for_Stock_Prediction
RL for Stock Prediction edited to use Pytorch from Atari baselines
Language: Python - Size: 1.29 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
dv-fenix/ReinforcementLearning
Implementing some RL algorithms (using PyTorch) on the CartPole environment by OpenAI.
Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
ZHONGJunjie86/A2C-TD-single-car-intersection
A model describing how a car learns to control its acceleration by A2C_TD.
Language: GAML - Size: 2.18 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0