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The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
Collection of resources on plasticity loss in deep reinforcement learning
Simple single-file baselines for Q-Learning in pure-GPU setting
A beautiful, simple, clean, and responsive Jekyll theme for academics
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
A curated list of awesome exploration RL resources (continually updated)
RileySE / Craftax-Foraging
Forked from MichaelTMatthews/CraftaxCraftax adapted into a foraging task for NeuroAI research
Benchmarking RL generalization in an interpretable way.
A JAX research toolkit for building, editing, and visualizing neural networks.
⚡ Flashbax: Accelerated Replay Buffers in JAX
This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
Benchmarking the Spectrum of Agent Capabilities
A Python package mapping 2D coordinates to colors based on different 2D color maps.
The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning or fine-tuning. Training is reward-free and based on the Fo…
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
The Arcade Learning Environment (ALE) -- a platform for AI research.