Search Results for author:
Found 6 papers, 3 papers with code
Monte Carlo Tree Search in the Presence of Transition Uncertainty
We study and improve MCTS in the context where the environment model is given but imperfect.
Sim-To-Real Transfer for Miniature Autonomous Car Racing
With our method, a model with 18. 4\% completion rate on the testing track is able to help teach a student model with 52\% completion.
Accelerating and Improving AlphaZero Using Population Based Training
This is compared to a saturated non-PBT agent, which achieves a win rate of 47% against ELF OpenGo under the same circumstances.
Multiple Policy Value Monte Carlo Tree Search
Many of the strongest game playing programs use a combination of Monte Carlo tree search (MCTS) and deep neural networks (DNN), where the DNNs are used as policy or value evaluators.
Multi-Labelled Value Networks for Computer Go
First, the MSE of the ML value network is generally lower than the value network alone.
Human vs. Computer Go: Review and Prospect
The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development.
