🔁 AMP-RSL-RL: Adversarial Motion Priors for robotic RL (PPO + motion imitation)

Unified framework for robot learning built on NVIDIA Isaac Sim

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

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adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

⏰ AI conference deadline countdowns

A benchmark for offline goal-conditioned RL and offline RL

Clean, minimal, accessible reproduction of DeepSeek R1-Zero

A library for generative social simulation

Fixed and customized (Working with xbar)

Fast reinforcement learning research

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Deep Hierarchical Planning from Pixels

This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".

A minimalist environment for decision-making in autonomous driving

The devkit of the nuPlan dataset.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Scalable Multi-Agent RL Training School for Autonomous Driving

100 exercises to learn JAX

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Gym for multi-agent reinforcement learning

Driver for xsens IMUs

Paper list of multi-agent reinforcement learning (MARL)