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Lessons Learned - Balancing Rewards
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Classroom Contents
Successfully Use Deep Reinforcement Learning in Testing and NPC Development
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- 1 Intro
- 2 Why Unity @ GDC ML Summit
- 3 How are studios using DRL?
- 4 Most common use case
- 5 Reinforcement learning in a nutshell
- 6 Test new levels or content using RL
- 7 A few effective approaches
- 8 Domain randomization
- 9 Using demonstrations to guide RL
- 10 How do we mitigate cost?
- 11 Increasing sample throughput
- 12 Increasing sample efficiency
- 13 Using RL for testing - final thoughts
- 14 Carry Castle
- 15 Challenges
- 16 RL setup for Source of Madness
- 17 Structuring the proper rewards
- 18 Lessons Learned - Visualizations
- 19 Lessons Learned - Balancing Rewards
- 20 Lessons Learned - Handling of Actions
