Train and compare PPO, A2C and DQN agents on a custom OpenAI Gym Snake environment (2 M timesteps, Stable-Baselines3)
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Mar 10, 2026 - Python
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a2c
Here are 233 public repositories matching this topic...
Reinforcment learning algorithms
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Nov 22, 2022 - Jupyter Notebook
A university project where we implement and experiment with different Reinforcement Learning algorithms and trying to optimize the CartPole environment from OpenAI Gym.
reinforcement-learning ai ml transformers openai-gym openai dqn gymnasium ai-agents dueling-network-architecture ppo a2c stable-baselines3
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Dec 17, 2025 - Jupyter Notebook
Kung Fu Master A2C Agent is a PyTorch implementation of the Advantage Actor–Critic (A2C) algorithm, engineered to learn and play the Atari classic Kung Fu Master. It uses Gymnasium (with ALE ROMs) to manage multiple parallel environments and a custom preprocessing wrapper.
python reinforcement-learning deep-reinforcement-learning python3 pytorch convolutional-neural-networks atari gymnasium actor-critic image-preprocessing a2c kungfumaster a2c-agent agentic-ai
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Jul 17, 2026 - Python
resource aware PCG for game level generation with human feedback, Meta Learning, a Dashboard and Solvability guardrail
gamedev reinforcement-learning maml proximal-policy-optimization a2c procedural-content-generation rlhf reinforcement-learning-from-human-feedback resource-aware-ai
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Jul 19, 2026 - Jupyter Notebook
Deep reinforcement learning experiments
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Mar 11, 2024 - Python
A personal journey through reinforcement learning, inspired by Sutton & Barto’s classic book. This repository contains my step-by-step coding projects, experiments, and notes as I learn and implement key RL concepts — from multi-armed bandits to advanced policy gradient methods.
python machine-learning reinforcement-learning jupyter-notebook q-learning dqn mdp policy-gradient multi-armed-bandit actor-critic deep-rl ppo a2c q-learning-algorithm sutton-and-barto
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Aug 16, 2025 - Jupyter Notebook
Train and evaluate deep reinforcement learning agents (DQN, PPO, A2C) to play the classic Snake game using Stable-Baselines3 and PyTorch.
machine-learning reinforcement-learning openai-gym pytorch dqn snake-game convolutional-neural-networks ppo a2c stable-baselines3
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May 3, 2026 - Python
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.
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Jun 14, 2023 - Python
2024 Spring, Principles of Reinforcement Learning
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Jun 16, 2024 - Python
A collection of AIs made with PyTorch
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Jan 20, 2021 - Python
Implementation of Proximal Policy Optimization (PPO) based on the original PPO paper for continuous control tasks in MuJoCo environments.
reinforcement-learning ai artificial-intelligence rl mujoco proximal-policy-optimization ppo a2c vanilla-policy-gradient
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Mar 28, 2026 - Python
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
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Jul 2, 2025 - Jupyter Notebook
Third homework for the Reinforcement Learning course
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Dec 11, 2023 - Python
Some RL algorithm implementation (PyTorch) (Colab executable)
deep-learning colab reinforcement-learning-algorithms reinforce actor-critic ppo a2c reinforce-with-baseline
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Dec 4, 2022 - Jupyter Notebook
Policy iteration, REINFORCE, A2C, and A3C for decision-making, LunarLander control, and vision-based robotic grasping in PyBullet.
reinforcement-learning pytorch a3c reinforce robot-learning pybullet a2c policy-gradients actor-critic-model
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May 13, 2026 - Python
PyTorch implementation of Asynchronous (and Synchronous) Advantage Actor Critic
reinforcement-learning pytorch reinforcement-learning-algorithms a3c advantage-actor-critic a2c pytorch-implementation
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Aug 21, 2019 - Python
RL learning model for Hola's Haggling Challenge
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Nov 3, 2018 - Python
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