TAG: MCTS

2020-10 [MuZero] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	2020/07/12 04:42	Hyunsoo Park
2021-07 Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction	2021/07/06 17:24	Hyunsoo Park
2021-07 Vector Quantized Models for Planning	2021/08/05 06:03	Hyunsoo Park
2023-08 MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games	2024/04/30 00:18	Hyunsoo Park
2024-01 Monte Carlo Tree Search for Recipe Generation using GPT-2	2024/01/11 20:14	Hyunsoo Park
2024-04 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing	2024/04/23 00:20	Hyunsoo Park
2024-04 Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games	2024/04/24 00:22	Hyunsoo Park
Collaborative Agent Gameplay in the Pandemic Board Game	2021/03/23 16:03	Hyunsoo Park
Python: LaMCTS	2021/07/20 04:12	Hyunsoo Park