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steady-state distribution

6 papers

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Co-occurring keywords · papers mentioning both

markov chain (2) policy gradient (2) reinforcement learning (2) hard-exploration task (1) parametric inference (1) maximum likelihood learning (1) state extrapolation (1) transition rate (1) entropy optimization (1) parameter extrapolation (1)

Papers

Policy Gradient With Serial Markov Chain Reasoning NeurIPS 2022 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 Steady State Analysis of Episodic Reinforcement Learning NeurIPS 2020 Steady-State Policy Synthesis for Verifiable Control IJCAI 2019