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robot learning
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
[arXiv'23] Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"
[Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning
[TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control
[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
Suite of human-collected datasets and a multi-task continuous control benchmark for open vocabulary visuolinguomotor learning.
A continually updated list of literature on Reinforcement Learning from AI Feedback (RLAIF)
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
Unified framework for robot learning built on NVIDIA Isaac Sim
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
[ICRA 2023] Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Official implementation for the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A unified architecture for multimodal multi-task robotic policy learning.
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
AgentHive provides the primitives and helpers for a seamless usage of robohive within TorchRL.
Robot kinematics implemented in pytorch