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awesome-open-ended

Awesome Open-ended AI

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

datasci-practical-b

University of Cambridge Data Science practical course assessment B

deterministic-variational-inference

Sample code for running deterministic variational inference to train Bayesian neural networks

discovering-reinforcement-learning-algorithms

A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.

dm_alchemy

DeepMind Alchemy task environment: a meta-reinforcement learning benchmark

evosax

Evolution Strategies in JAX 🦎

google-scholar-highlighter

groove

Official implementation for the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"

hmjackson

hugo-theme-sam

A Simple and Minimalist theme for Hugo with a focus on typography and content.

hugo-theme-two-col

jax-rl-template

Minimal template for JAX-based reinforcement learning projects

personal-site-two-col

personal_website

policy-guided-diffusion

Official implementation of "Policy-Guided Diffusion"

practical-labs

Second year practical labs

robot_chase

Mobile Robot Systems final project

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

video-super-resolution

University of Cambridge Part II Dissertation