sjYoondeltar
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RL
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Reinforcment Learning accelerated Motion Planning Algorithm based on Frenetix and Frenetix_Motion_Planner
Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
Mastering Diverse Domains through World Models
[NeurIPS 2023] Latent Exploration for Reinforcement Learning
Official code for ICLR 2024 paper, SEABO: A Simple Search-Based Method for Offline Imitation Learning
[IROS2023]Learning to Solve Tasks with Exploring Prior Behaviours
[ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"
Official implementation of Diffusion Model-Based Predictor (DMBP) presented in ICLR2024.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Reinforcement Learning with Model Predictive Control
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
[ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.
MTM Masked Trajectory Models for Prediction, Representation, and Control.
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
[NeurIPS 2023] Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch
TorchDriveEnv is a lightweight 2D driving reinforcement learning environment, supported by a solid simulator and smart non-playable characters
Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
World Model based Autonomous Driving Platform in CARLA 🚗
PWM: Policy Learning with Large World Models
[RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation
Demo-Driven Mobile Bi-Manual Manipulation Benchmark.