-
Deepmind
- London, UK
- https://shariqiqbal2810.github.io/
- @shariqbal
Highlights
- Pro
Stars
Stabilizer: Rigorous Performance Evaluation
A Dataset of Python Challenges for AI Research
A Gym-like environment for Reinforcement Learning in Rocket League
Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)
Reinforcement Learning for Solving the Vehicle Routing Problem
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Benchmarking the Spectrum of Agent Capabilities
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Code release for "When MAML Can Adapt Fast and How to Assist When It Cannot", AISTATS 2021.
Retrieve information from DBLP and update BibTex files automatically
NeuralMMO / environment
Forked from openai/neural-mmoNeural MMO - A Massively Multiagent Environment for Artificial Intelligence Research
Fast Block Sparse Matrices for Pytorch
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
A customisable 2D platform for agent-based AI research
🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020…
MineRL Competition for Sample Efficient Reinforcement Learning - Python Package
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
Streamlit — A faster way to build and share data apps.
High throughput synchronous and asynchronous reinforcement learning
A library of reinforcement learning components and agents
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Submission for MAVEN: Multi-Agent Variational Exploration
Research code implementing the search AI agent for Hanabi, as well as a web server so people can play against it
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks