The document summarizes recent research related to "theory of mind" in multi-agent reinforcement learning. It discusses three papers that propose methods for agents to infer the intentions of other agents by applying concepts from theory of mind:
1. The papers propose that in multi-agent reinforcement learning, being able to understand the intentions of other agents could help with cooperation and increase success rates.
2. The methods aim to estimate the intentions of other agents by modeling their beliefs and private information, using ideas from theory of mind in cognitive science. This involves inferring information about other agents that is not directly observable.
3. Bayesian inference is often used to reason about the beliefs, goals and private information of other agents based
The document describes various probability distributions that can arise from combining Bernoulli random variables. It shows how a binomial distribution emerges from summing Bernoulli random variables, and how Poisson, normal, chi-squared, exponential, gamma, and inverse gamma distributions can approximate the binomial as the number of Bernoulli trials increases. Code examples in R are provided to simulate sampling from these distributions and compare the simulated distributions to their theoretical probability density functions.
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)Maho Nakata
The document describes the Hamiltonian operator (H) and its application to the Hartree-Fock wavefunction (|ΦHF⟩) to obtain energy eigenvalues (E0, E1, etc.). The Hartree-Fock wavefunction can be expressed as a linear combination of Slater determinants (|Ψ0⟩, |Ψ1⟩, etc.). Applying the exponential of the Hamiltonian operator over time (eiHt) to |ΦHF⟩ yields the time-dependent Hartree-Fock wavefunction.
The document summarizes recent research related to "theory of mind" in multi-agent reinforcement learning. It discusses three papers that propose methods for agents to infer the intentions of other agents by applying concepts from theory of mind:
1. The papers propose that in multi-agent reinforcement learning, being able to understand the intentions of other agents could help with cooperation and increase success rates.
2. The methods aim to estimate the intentions of other agents by modeling their beliefs and private information, using ideas from theory of mind in cognitive science. This involves inferring information about other agents that is not directly observable.
3. Bayesian inference is often used to reason about the beliefs, goals and private information of other agents based
The document describes various probability distributions that can arise from combining Bernoulli random variables. It shows how a binomial distribution emerges from summing Bernoulli random variables, and how Poisson, normal, chi-squared, exponential, gamma, and inverse gamma distributions can approximate the binomial as the number of Bernoulli trials increases. Code examples in R are provided to simulate sampling from these distributions and compare the simulated distributions to their theoretical probability density functions.
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)Maho Nakata
The document describes the Hamiltonian operator (H) and its application to the Hartree-Fock wavefunction (|ΦHF⟩) to obtain energy eigenvalues (E0, E1, etc.). The Hartree-Fock wavefunction can be expressed as a linear combination of Slater determinants (|Ψ0⟩, |Ψ1⟩, etc.). Applying the exponential of the Hamiltonian operator over time (eiHt) to |ΦHF⟩ yields the time-dependent Hartree-Fock wavefunction.
QIQB(大阪大学先導的学際研究機構量子情報・量子生命研究部門)セミナー でのスライドを加筆したもの。量子コンピュータを用いた量子化学計算の現在の状況と展望を述べた.
伝統的なゲート式位相推定による方法とvariational eigen solverによるものと2つ。ごく最近虚時間発展法の実装もされており、それは別スライドで概観した。
The document discusses the application of the Bravyi-Kitaev transformation to quantum chemistry calculations on a quantum computer. It notes that while quantum computers could perform quantum chemistry simulations much faster than classical computers, actually implementing the calculations requires many unitary circuits. The Bravyi-Kitaev transformation reduces the number of circuits needed by encoding qubits in a different way, making the calculations more efficient for a real quantum computer.
PubChem QC project. In this project we calculate all molecules in the PubChem Project. Currently 1,100,000 molecules are available at http://pubchemqc.riken.jp/ . Results are in public domain.