✳flâneur — a map of the web's best reading
RUDDER - Reinforcement Learning with Delayed Rewards | rudder
ml-jku.github.io · 4,434 words · saved by 1 readers
Blog post
RUDDER - Reinforcement Learning with Delayed Rewards | rudder Blog post to RUDDER: Return Decomposition for Delayed Rewards . Recently, tasks with delayed rewards that required model-free reinforcement learning attracted a lot of attention via complex strategy games. For example, DeepMind currently focuses on the delayed reward games Capture the flag and Starcraft , whereas Microsoft is putting up the Marlo environment, and Open AI announced its Dota 2 achievements. Mastering these games with delayed rewards using model-free reinforcement learning poses a great challenge and an almost insurmou
Explore this link on the map →saved by
related reading
- A (Long) Peek into Reinforcement Learning | Lil'Loglilianweng.github.io
- Part 1: Key Concepts in RL - Spinning Up documentationspinningup.openai.com
- Reward is not the optimization target — LessWronglesswrong.com
- Reward Hacking in Reinforcement Learning | Lil'Loglilianweng.github.io
- An Updated Introduction to Reinforcement Learning | Sri's Blogsrianumakonda.com
- Debugging Reinforcement Learning Systemsandyljones.com
- State of RL for reasoning LLMs | A. Weersaweers.de
- Reinforcement learning - Wikipediaen.wikipedia.org
- RL without TD learningseohong.me
- Models Don't "Get Reward" — LessWronglesswrong.com
- Deep Q-Networks Explained — LessWronglesswrong.com
- Part 1: Key Concepts in RL - Spinning Up documentationspinningup.openai.com