andyljones / boardlawLinks
Scaling scaling laws with board games.
☆53Updated 2 years ago
Alternatives and similar repositories for boardlaw
Users that are interested in boardlaw are comparing it to the libraries listed below
Sorting:
- An implementation of MuZero in JAX.☆57Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆121Updated last year
- General Modules for JAX☆72Updated 4 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆37Updated 2 years ago
- ☆53Updated 2 years ago
- ☆22Updated 9 months ago
- Minimal but scalable implementation of large language models in JAX☆35Updated last month
- Jax/Flax rewrite of Karpathy's nanoGPT☆62Updated 2 years ago
- An environment for benchmarking commonsense agents☆29Updated 5 years ago
- Accelerated replay buffers in JAX☆46Updated 3 years ago
- Baselines for gymnax 🤖☆74Updated 2 years ago
- A simple library for scaling up JAX programs☆144Updated 2 months ago
- An Open-Ended Agentic Simulator☆58Updated last year
- A collection of meta-learning algorithms in Jax☆24Updated 3 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 4 years ago
- Code for minimum-entropy coupling.☆32Updated 2 weeks ago
- Vectorization techniques for fast population-based training.☆57Updated 3 years ago
- fast + parallel AlphaZero in JAX☆109Updated last year
- Building blocks for productive research☆67Updated last week
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆43Updated 3 years ago
- Language-annotated Abstraction and Reasoning Corpus☆98Updated 2 years ago
- ☆91Updated 4 months ago
- PyTorch Package For Quasimetric Learning☆45Updated last year
- Accelerated minigrid environments with JAX☆154Updated 3 months ago
- Code and links for over 25,000 trained Atari agents☆98Updated last year
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆47Updated 4 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆83Updated 3 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆61Updated 2 years ago
- ☆89Updated last year