deep-learning functional-programming optimization automatic-differentiation optimizer pytorch bilevel-optimization meta-learning differentiable-programming meta-rl meta-reinforcement-learning implicit-differentiation differentiable-optimization Updated Aug 5, 2024 Python Allenpandas / Reinforcement-Learning-Papers Star...
deep-learning functional-programming optimization automatic-differentiation optimizer pytorch bilevel-optimization meta-learning differentiable-programming meta-rl meta-reinforcement-learning implicit-differentiation differentiable-optimization Updated Nov 4, 2024 Python EzgiKorkmaz / generalization-reinforcement-learnin...
XLand-MiniGridis a suite of tools, grid-world environments and benchmarks for meta-reinforcement learning research inspired by the diversity and depth ofXLandand the simplicity and minimalism ofMiniGrid. Despite the similarities, XLand-MiniGrid is written in JAX from scratch and designed to be highl...
Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning(2018)Anuesha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn.[arXiv][GitHub] Few-Shot Goal Inference for Visuomotor Learning and Planning(2018)Annie Xie,...
Meta-Learning. Meta-Reinforcement-Learning. 🎨Different Types Optimization-based meta-learning approaches acquire a collection of optimal initial parameters, facilitating rapid convergence of a model when adapting to novel tasks. Metric-based meta-learning approaches acquire embedding functions that transform...
Meta Learning,叫做元学习或者 Learning to Learn 学会学习,包括Zero-Shot/One-Shot/Few-Shot 学习,模型无关元学习(Model Agnostic Meta Learning)和元强化学习(Meta Reinforcement Learning)。元学习是人工智能领域,继深度学习是人工智能领域,继深度学习 -> 深度强化学习、生成对抗之后,又一个重要的研究分支,也是是近...
Meta-reinforcement learning algorithms can enable autonomous agents, such as robots, to quickly acquire new behaviors by leveraging a set of related training tasks to learn a new skill from a small amount of experience. However, meta-RL has proven challenging to apply to robots in the real worl...
Meta Learning,叫做元学习或者 Learning to Learn 学会学习,包括Zero-Shot/One-Shot/Few-Shot 学习,模型无关元学习(Model Agnostic Meta Learning)和元强化学习(Meta Reinforcement Learning)。元学习是人工智能领域,继深度学习是人工智能领域,继深度学习 -> 深度强化学习、生成对抗之后,又一个重要的研究分支,也是是近...
Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models Official implementation of Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS). Links to the weights and videos of MELTS(DPMM) and MELTS(Gauss) to cheetah-eight-tasks https://drive.google.com/dr...
Decoupling Exploration and Exploitation in Meta-Reinforcement Learning without Sacrifices Introduction Authors: Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn Source code accompanying our ICML 2021 paper. Also see our project web page. Requirements This code requires Python3. The Python3...