meta-reinforcement-learning topic

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

metaopt

Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

mtrazzi

PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details!

BKHMSI

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

yingchengyang

Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'

lucaslingle

Code snippets of Meta Reinforcement Learning algorithms

TroddenSpade

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

LinZichuan

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

Allenpandas

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

corl-team

Reading list for adversarial perspective and robustness in deep reinforcement learning.

EzgiKorkmaz