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A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models
arXiv:2605.30843v1 Announce Type: new Abstract: In the forward reinforcement-learning problem, the reward is fixed and known; the learner is asked to find a good policy or value function. Here we turn the question around. Given offline data generated by an expert, can we recover the reward the expert was optimizing?
Capstone – multi-platform, multi-architecture disassembly framework
Welcome Capstone is a lightweight multi-platform, multi-architecture disassembly framework. Our target is to make Capstone the ultimate disassembly engine for binary analysis and reversing in the security community. Highlight features - Multi-architectures: ARM, ARM64 (ARMv8), BPF, Ethereum VM, M68K, M680X, Mips, MOS65XX, PowerPC, RISC-V, SH, Sparc, SystemZ, TMS320C64X, TriCore, Webassembly, XCore and X86 (16, 32, 64).