nicklashansen/tdmpc2

Mastering Diverse Domains through World Models

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control

Combining Diffusion Models with PPO to Improve Sample Efficiency and Exploration in Reinforcement Learning

Flow Policy Gradients for Robot Control

Working directory for dynamics learning for experimental robots.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Implementation of R2-Dreamer.