LostThinker's Stars
ido90/RobustMetaRL
A variant of Varibad that is robust to difficult tasks
sotetsuk/pgx
♟️ Vectorized RL game environments in JAX
proroklab/VectorizedMultiAgentSimulator
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
octo-models/octo
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
thuml/predrnn-pytorch
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
facebookresearch/eai-vc
The repository for the largest and most comprehensive empirical study of visual foundation models for Embodied AI (EAI).
ARISE-Initiative/robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
thuml/ContextWM
Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499
Alescontrela/viper_rl
Using advances in generative modeling to learn reward functions from unlabeled videos.
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
ArnaudFickinger/gym-multigrid
Lightweight multi-agent gridworld Gym environment
IrohXu/Awesome-Multimodal-LLM-Autonomous-Driving
[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
Thinklab-SJTU/Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
WooooDyy/LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
facebookresearch/minimax
Efficient baselines for autocurricula in JAX.
FLAIROx/JaxMARL
Multi-Agent Reinforcement Learning with JAX
awarelab/continual_world
mazpie/mastering-urlb
[ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and use planning (Dyna-MPC) during fine-tuning.
WendongZh/continual_visual_control
Code for Predictive Experience Replay for Continual Visual Control and Forecasting
KarlXing/RL-Visual-Continuous-Control
RL Algorithms for Visual Continuous Control
younggyoseo/MWM
Masked World Models for Visual Control
google-research/world_models
eric-ai-lab/MiniGPT-5
Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"
robfiras/loco-mujoco
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
alexlee-gk/video_prediction
Stochastic Adversarial Video Prediction
Genesis-Embodied-AI/RoboGen
A generative and self-guided robotic agent that endlessly propose and master new skills.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
lorenmt/minimal-isaac-gym
A Minimal Example of Isaac Gym with DQN and PPO.
Farama-Foundation/Gymnasium-Robotics
A collection of robotics simulation environments for reinforcement learning