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higepon / tensorflow_seq2seq_chatbot Public

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Algorithm for Reinforcement Learning

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Higepon Taro Minowa edited this page Apr 30, 2018 · 6 revisions

Algorithm for Reinforcement Learning

Toggle table of contents Pages 69

Home
A Deep Reinforcement Learning Chatbot
Algorithm for Reinforcement Learning
- Algorithm for Reinforcement Learning
attention_decoder
Beam Search
Beam Search 1.Read the paper
Beam Search 10.Debug beam_search=True
Beam Search 11.Debug beam 2
Beam Search 2.LSTM decode detail
Beam Search 3.Understand Beam Search
Beam Search 4.Visit seq2seq implmentation
Beam Search 5.Revisit Beam Search Discussion
Beam Search 6.How to get probablities
Beam Search 7.Implement Beam Search on Python side
Beam Search 8.Revisit Beam Search Discussion Again
Beam Search 9.Debug attention_decoder
beam_attention_decoder
Deep Reinforcement Learning for Dialogue Generation
embedding_attention_decoder
embedding_attention_seq2seq
Install tensorflow FreeBSD
Log Template
logs0:old
logs10:See if RL works with medium model
logs11:See if RL works with medium model2
logs12:Train seq2seq with Large Data
logs13:Understand Policy Gradient
logs14:Normalize Reward
logs15:See if new RL is working
logs16:RL test shorter reply is better
logs17:RL test len equals 2 is the best
logs18:RL test train seq2seq first
logs19: Random negative reward to avoid 0 loss
logs1:Use easy tf log
logs20: Make a list of how we implement RL for seq2seq
logs21: Steps to make small RL work
logs22:Refactoring ideas
Logs23:Train large seq2seq
Logs24: Run RL on large seq2seq
Logs25: Print detailed debug information
Logs25:Construct real dull response RL
Logs25:Fix sample helper
Logs26: Confirm dull response work for small tweets
Logs27: Mutual Information
Logs28: Mutual Information Observe
Logs29: Wrap up Mutual Information Beam
logs2:Revisit auth on PyDrive
logs30:Show sampled reply for large data
logs31:Get logits and log_prob
logs32:Values to watch for RL
logs33:Observe RL values
logs34:KL penalty
logs35:RL finally works
logs3:How to save model
logs4:See if RL framework is working
logs5:Consolidate logs
logs6:Make RL model work with small model
logs7:Test RL with small model
logs8:Understand policy entropy TO REVISIT
logs9:Fix msec data issue
logs:33 Long RL run
loop_function
Make old chatbot compatible with tensorflow 1.0
Make your chatbot remember information
misc notes
model_with_buckets
Seq2SeqModel
Understand how CS20SI chatbot works
Understand seq2seq lib with attention

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