jan-schuchardt / learning-to-evolveLinks
Deep reinforcement learning for adaptation in evolutionary algorithms
☆9Updated 5 years ago
Alternatives and similar repositories for learning-to-evolve
Users that are interested in learning-to-evolve are comparing it to the libraries listed below
Sorting:
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 6 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Kalman Optimization for Value Approximation☆11Updated 5 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- Contextual Bandits Action Elimination DQN☆21Updated 7 years ago
- Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…☆11Updated 4 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 5 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 4 years ago
- The server portion of the Neural Chat project to deploy chatbots on web. This code is accompanied by another repository that includes the…☆36Updated 4 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- A2C for GVG-AI☆21Updated 6 years ago
- ☆12Updated 4 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- ☆12Updated 6 years ago
- Generalised UDRL☆37Updated 3 years ago
- Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics (AAAI 2022)☆14Updated 3 years ago
- ☆10Updated 4 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 6 years ago
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago
- Generate and train embeddings with a graph neural network and deploy as an API in a few lines of code☆9Updated 4 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 3 years ago
- 🤖 Reinforcement Learning paper summaries, notebooks, and articles.☆26Updated 5 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- ☆16Updated 5 years ago
- ☆19Updated 3 years ago