a novel algo for meta-MARL; 元-多智能体强化学习算法
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Updated
Oct 17, 2024 - Python
a novel algo for meta-MARL; 元-多智能体强化学习算法
Customized environment utilizing the OpenAI Gym library for controlling battery energy storage systems in multi-microgrids
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
A collection of Meta-Reinforcement Learning algorithms in PyTorch
Reading list for adversarial perspective and robustness in deep reinforcement learning.
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Code for the "Evolving Reservoirs for Meta Reinforcement Learning" paper
🎉🎨 This repository contains a reading list of papers with code on **Meta-Learning** and ***Meta-Reinforcement-Learning*
A Survey Analyzing Generalization in Deep Reinforcement Learning
The proceedings of top conference in 2017 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2020 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2021 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Implementation of the paper "MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning" - N. Kan, et. al., 2023
Code snippets of Meta Reinforcement Learning algorithms
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