Stars
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Evidential Deep Learning in PyTorch
[ECCV2024] Gated Temporal Action Anticipation for Stochastic Long-Term Anticipation
A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
An elegant PyTorch deep reinforcement learning library.
Riemannian Adaptive Optimization Methods with pytorch optim
Code for the paper Learning the Predictability of the Future (CVPR 2021)
Robotic Architectural Assembly with Tactile Skills: Simulation and Optimization
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars
[CoRL 2024] Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
robomimic: A Modular Framework for Robot Learning from Demonstration
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
A large-scale benchmark and learning environment.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Python implementation of POMDP framework and PBVI & POMCP algorithms.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Code for the paper Joint Discovery of Object States and Manipulation Actions, ICCV 2017