RL
Implementations of Curious Replay for model-based adaptation.
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
Adversarial skill embeddings for training reusable controllers for physically simulated characters.
Enabling Mixed Opponent Strategy Script and Self-play on SMAC
Scalable RL solution for advanced reasoning of language models
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
iterative Linear Quadratic Regulator practice
Leaderboard and Visualization for RLCard
Awesome Game AI materials of Multi-Agent Reinforcement Learning
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
AlphaFold 3 inference pipeline.
Foundation Policies with Hilbert Representations (ICML 2024)
A curated list of resources dedicated to StarCraft AI.
DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
Janus-Series: Unified Multimodal Understanding and Generation Models
(T-IV) Dream to Drive with Predictive Individual World Model
Simple and easily configurable grid world environments for reinforcement learning
A collection of robotics simulation environments for reinforcement learning
RL Extension Library for Robots, Based on IsaacLab.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL