Research reinforcment learning

[Klazkin]

Researching reinforcement learning to potentially later try implementing an AlphaZero type approach to training a network.

The goal

Research.

Time tracking

Time Estimate: 3 hours 0 minutes Time spent: 5 hours 30 minutes

Resources

• Monte Carlo Tree Search: A Review of Recent Modifications and Applications https://arxiv.org/pdf/2103.04931v4.pdf
• Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates https://arxiv.org/pdf/1905.05809.pdf
• Dota 2 with Large Scale Deep Reinforcement Learning https://arxiv.org/pdf/1912.06680.pdf
• Efficiently Mastering the Game of NoGo with Deep Reinforcement Learning Supported by Domain Knowledge https://www.researchgate.net/publication/352720536_Efficiently_Mastering_the_Game_of_NoGo_with_Deep_Reinforcement_Learning_Supported_by_Domain_Knowledge
• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm https://arxiv.org/pdf/1712.01815.pdf
• Acquisition of Chess Knowledge in AlphaZero https://arxiv.org/pdf/2111.09259.pdf
• Mastering the game of Go without human knowledge https://www.researchgate.net/publication/320473480_Mastering_the_game_of_Go_without_human_knowledge