pochih/RL-Chatbot
A conversational chatbot trained using deep reinforcement learning with seq2seq architecture and policy gradient methods.
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This repository implements a chatbot trained using deep reinforcement learning techniques. The system uses a seq2seq model with shared-weight LSTM encoder-decoder architecture for sequence-to-sequence learning. After initial seq2seq training, policy gradient reinforcement learning is applied to improve response generation quality based on a reward function, allowing the chatbot to generate more engaging responses.
Frequently asked
- What is pochih/RL-Chatbot?
- A conversational chatbot trained using deep reinforcement learning with seq2seq architecture and policy gradient methods.
- Is RL-Chatbot open source?
- Yes — pochih/RL-Chatbot is open source, released under the MIT license.
- What language is RL-Chatbot written in?
- pochih/RL-Chatbot is primarily written in Python.
- How popular is RL-Chatbot?
- pochih/RL-Chatbot has 422 stars on GitHub.
- Where can I find RL-Chatbot?
- pochih/RL-Chatbot is on GitHub at https://github.com/pochih/RL-Chatbot.