RUDDER - Reinforcement Learning with Delayed Rewards | rudder

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

saved by

• Micah Carroll
• Jacob Mazelin

related reading

• A (Long) Peek into Reinforcement Learning | Lil'Loglilianweng.github.io
• Reward Hacking in 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
• Deep Reinforcement Learning: Pong from Pixelskarpathy.github.io
• RLHF | John Lambertjohnwlambert.github.io
• RL without TD learningseohong.me
• The Promise of Hierarchical Reinforcement Learningthegradient.pub
• ML Mentorship: Some Q/A about RLevjang.com
• Flow Matching Policy Gradientsflowreinforce.github.io
• Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actionsarxiv.org
• Deep Reinforcement Learning: Pong from Pixelskarpathy.github.io