a2c-algorithm
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For trading. Please star.
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Feb 5, 2026 - Python
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
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Dec 18, 2021 - TeX
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.
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May 7, 2021 - GAML
Implementation of RL Algorithms with PyTorch.
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Jan 16, 2023 - Python
Applying A2C-algorithm (Reinforcement Learning) for the control of a DC-motor
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Feb 2, 2024 - Python
Solving the Atari Breakout environment using Stable Baselines
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Oct 25, 2022 - Jupyter Notebook
A model describing how a car learns to control its acceleration by A2C_TD.
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Jul 13, 2020 - GAML
Implementing some RL algorithms (using PyTorch) on the CartPole environment by OpenAI.
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Aug 24, 2020 - Python
Implementation of the Advantage Actor-Critic (A2C) algorithm for training an agent to balance a pole in the CartPole environment using PyTorch and OpenAI Gym.
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Oct 13, 2024 - Jupyter Notebook
This repository displays the use of Reinforcement Learning, specifically QLearning, REINFORCE, and Actor Critic (A2C) methods to play CartPole-v0 of OpenAI Gym.
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Jan 14, 2021 - Python
Personal sandbox project for testing reinforcement learning algorithms.
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Jul 18, 2023 - Python
This project implements and evaluates various Reinforcement Learning (RL) and Evolutionary Algorithm (EA) agents designed to play the classic game of Tetris
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Jul 10, 2025 - Python
Using Imitation Learning for a Wordle agent
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Sep 13, 2024 - Jupyter Notebook
This repository explores Reinforcement Learning (RL) through hands-on implementations of key algorithms and environments. It demonstrates how agents learn by interacting with environments, optimizing rewards, and adapting to tasks ranging from Atari games to autonomous driving and custom simulations.
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Aug 28, 2025 - Jupyter Notebook
Advantage Actor-Critic (A2C) reinforcement learning algorithm to detect emerging trends in tweets. The RL agent learns to optimize actions (post, edit, delete) based on engagement metrics such as likes, retweets, and quotes.
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Jan 27, 2025 - Python
Stable Baselines3
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Dec 26, 2023 - Python
Using the "Advantage Actor Critic(A2C)" Reinforcement Learning method, the 'Agent' is trained to play Atari's Breakout.
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Jan 13, 2022 - Jupyter Notebook
Custom implementations of RL algorithms that can solve complex tasks like Atari games
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May 24, 2024 - Python
This is an AI for social good project, worked on as a culminating project for RL. Basically, AI agent will be simulating the government reps in a batch of 17 drugs negotiation with a goal with reduce the overall cost of each drugs s.t it is affordable for its users
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Feb 7, 2026 - Jupyter Notebook
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