🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

Clone a voice in 5 seconds to generate arbitrary speech in real-time

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020…

Set of robotic environments based on PyBullet physics engine and gymnasium.

Paper list of multi-agent reinforcement learning (MARL)

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

中文整理的强化学习资料（Reinforcement Learning）