Massively Parallel Deep Reinforcement Learning. 🔥
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Updated
Aug 18, 2025 - Python
Massively Parallel Deep Reinforcement Learning. 🔥
road-map & paper review for Reinforcement Learning
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
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
Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework
A minimal, retro-inspired Hugo theme with an Apple System 7 aesthetic and zero JS
Implementation code when learning deep reinforcement learning
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.
pretrained SpeechBrain wav2vec seq2seq+CTC model trained on TIMIT dataset. Created by Kip McCharen, Siddharth Surapaneni, and Pavan Bondalapati
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