Massively Parallel Deep Reinforcement Learning. 🔥
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Updated
Feb 20, 2026 - Python
Massively Parallel Deep Reinforcement Learning. 🔥
road-map & paper review for Reinforcement Learning
A minimal, retro-inspired Hugo theme with an Apple System 7 aesthetic and zero JS
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
ORM for accessing indexedDB as a promise base api implementation.
Collection of reinforcement learning algorithms implementations with TensorFlow2
Keras Implementation of DDPG(Deep Deterministic Policy Gradient) with PER(Prioritized Experience Replay) option on OpenAI gym framework
An advanced ROS 2 package for autonomous drone navigation using SAC with Prioritized Experience Replay. Built on PX4, Gazebo Harmonic, and ROS 2 Humble, it enables intelligent obstacle avoidance with training scripts, test environments, and PX4 bridge configs.
Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework
Deep Q-Network Prioritized Experience Replay (PER) binary sum-tree engine enabling O(log N) proportional transition sampling and TD-error ranking.
Moteur de calcul pour simulateurs fiscaux et sociaux français : simulateur de plafond Madelin, PER, indemnités journalières, TMI, capitalisation. Fonctions pures, typées, testées. Barèmes 2026.
Deep Q-Network Prioritized Experience Replay (PER) binary sum-tree engine enabling O(log N) proportional transition sampling and TD-error ranking.
Implementation code when learning deep reinforcement learning
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