Witryna16 wrz 2024 · Download PDF Abstract: We present a reinforcement learning (RL) framework to synthesize a control policy from a given linear temporal logic (LTL) specification in an unknown stochastic environment that can be modeled as a Markov Decision Process (MDP). Specifically, we learn a policy that maximizes the probability … Witryna21 maj 2024 · After extensive experiments on the RL-based logic synthesis approach, the team found that: 1) decisions made by the RL policy do not depend on circuit features, and 2) the permutation of these ...
[1909.07299] Control Synthesis from Linear Temporal Logic ...
WitrynaRL (A2C) - 1000 it. GA - 567 it. RS - 1000 it. Greedy EPFL best (lvl/count) Fig. 1. Average QoR results over 10 EPFL circuits to recover 97:5% of the ... In logic synthesis we aim to find an equivalent yet simpler representation of a logic design using a series of primitive transformations. Modern tools [17], [19] express a circuit, Witryna16 lis 2024 · Zhu et al. [29] proposed a Markov Decision Process (MDP) formulation for logic synthesis and an RL algorithm that incorporates the Graph Convolutional … skyward spine vs favonius lance shenhe
Reinforcement learning for logic synthesis - Medium
WitrynaLogic synthesis. In computer engineering, logic synthesis is a process by which an abstract specification of desired circuit behavior, typically at register transfer level (RTL), is turned into a design implementation in terms of logic gates, typically by a computer program called a synthesis tool. Common examples of this process include ... WitrynaMemory Synthesis • Random logic using flip-flops or latches – use large vector or arrays in HDLs – inefficient in areas and performance – e.g.: a flip-flop takes up to 10 to 20 times area of a 6T SRAM cell • Register files in … WitrynaThe logic synthesis environment is implemented as a session in drills/scl_session.py and drills/fpga_session.py. Reinforcement Learning environment: it employs an … skyward spine genshin best character