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samvelyan / minihack
Forked from facebookresearch/minihackMiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
A JAX research toolkit for building, editing, and visualizing neural networks.
Awesome Machine Unlearning (A Survey of Machine Unlearning)
A curated list of academic events on AI Security & Privacy
The repository is for safe reinforcement learning baselines.
Loose taxonomy of reinforcement learning algorithms
Collection of resources on plasticity loss in deep reinforcement learning
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
Learning diverse options through the Laplacian representation.
Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
Simple single-file baselines for Q-Learning in pure-GPU setting
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Build high-performance AI models with modular building blocks
Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Simplifying reinforcement learning for complex game environments
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…