Robert Tjarko Lange's Projects
Action Grammars for Hierarchical Reinforcement Learning
Algonauts 2021 Challenge Mini-Track submission based on SimCLR-v2 features & Bayesian Optimization
Code accompanying GΓ³mez-Nava et al. (2023, Nature Physics)
Who needs backprop? - Guerguiev et al (2017) - Reproduction & Robustness Checks
Some small scale experiments for my blog posts π
A Tutorial on Deep Reinforcement Learning in PyTorch
Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)
Benchmarking Utilities for EvoJAX
Evolution Strategies in JAX π¦
A curated list of papers presented in the π"Flexible Learning Reading Group" @ TU Berlin. Join us! π€
A Towers of Hanoi environment in OpenAI Gym Style
A Swarm environment in OpenAI gym style
RL Environments in JAX π
Baselines for gymnax π€
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data
A Python implementation of John Gruberβs Markdown with Extension support.
Bachelor Thesis tackling the Impact of Skilled-Worker Immigration on the Diffusion of New Technologies
Minimal A2C/A3C example of an LSTM-based meta-learner.
JAX implementation of the Mistral model
Computer Practical Coursework for BCCN Berlin course "Models of Neural Systems" (2018/2019)
A simple tool to help building stacking models.
Latex code for making neural networks diagrams
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Python library for dynamically generating HTML sanitised Markdown syntax.
RandNLA methods for estimating GLMs with Big Datasets
Progress, Notes, Summaries and a lot of Questions on Machine Learning
Progress, Notes, Summaries and a lot of Questions on Neuroscience
Reinforcement Learning in PyTorch