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---
license: apache-2.0
tags:
- reinforcement-learning
- real-time-rl
- alphazero
- mcts
- jax
---
# Finding the Time to Think in Real-Time RL β€” Checkpoints
Pretrained base planners and gating policies for the paper
**Finding the Time to Think in Real-Time RL**.
A lightweight gating policy on top of a frozen AlphaZero-style MCTS planner
selects a state-dependent planning budget at each decision point, across five
real-time games (Pac-Man, real-time Tetris, Snake, Speed Hex, Speed Go).
- 🌐 Project page: https://aneeshers.github.io/realtime-rl/
- πŸ“„ Paper (PDF): https://aneeshers.github.io/realtime-rl/assets/finding-the-time-to-think.pdf
- πŸ’» Code: https://github.com/Aneeshers/realtime-rl-code
## Layout
```
checkpoints/
β”œβ”€β”€ clock/{go,hex}/{base,gating} # Speed Go / Speed Hex (pgx)
└── committed_action/{pacman,snake,tetris_rt}/{base,gating} # Jumanji
```
One AlphaZero base planner + one PPO gating policy per environment. See the
code repo's README for the launcher scripts that consume these.