Massively Parallel Deep Reinforcement Learning. 🔥
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Updated
Sep 1, 2024 - Python
Massively Parallel Deep Reinforcement Learning. 🔥
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
Implementation code when learning deep reinforcement learning
In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
pretrained SpeechBrain wav2vec seq2seq+CTC model trained on TIMIT dataset. Created by Kip McCharen, Siddharth Surapaneni, and Pavan Bondalapati
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