Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
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Updated
Jul 17, 2024 - Python
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Repository for codes of 'Deep Reinforcement Learning'
Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.
Find a path to the end in the maze using Noisy Deep Q networks.
Deep Reinforcement Learning Nanodegree projects
Yet another deep reinforcement learning
Implementation of various Deep Q-Network (DQN) variants
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