SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
翻译 - SEED RL:具有加速的中央推理功能的可扩展,高效的Deep-RL。使用SEED的体系结构在TF2中实现IMPALA和R2D2算法。
Reinforcement learning with unsupervised auxiliary tasks
An API conversion tool for popular external reinforcement learning environments
#计算机科学#The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
#计算机科学#A Test-Implementation of the IMPALA algorithm (by deepmind 2018)
Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"
PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!
Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)
#计算机科学#CS 238 Final Project: Deep Reinforcement Learning Agents that Run with Scissors
Docker hub for easily setting up reinforcement learning research environment
QASM256: A groundbreaking quantum-classical hybrid programming language designed for AI, secure systems, and real-time optimization, pushing the boundaries of innovation across industries.
Projet IAR master 2 ANDROIDE : 2021 - 2022 Projet d'introduction au méta reinforcement learning codé en Python