mitchellgoffpc / flatland-trainingLinks
Experiments with flatland.aicrowd.com
☆8Updated last year
Alternatives and similar repositories for flatland-training
Users that are interested in flatland-training are comparing it to the libraries listed below
Sorting:
- The Path to Nash Equilibrium☆38Updated 2 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- A standalone release of DeepMind Lab's maze generator with Python bindings.☆63Updated last year
- Code for Emergent Communication under Competition (AAMAS 2021)☆10Updated 2 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Let's solve the flatland challenge!☆73Updated last year
- Reinforcement learning algorithms☆41Updated 6 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks☆50Updated 2 years ago
- ☆20Updated 5 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆10Updated 5 years ago
- ☆28Updated 3 years ago
- PAIRED in PyTorch 🔥☆62Updated 2 years ago
- ☆80Updated last year
- Badger code samples☆28Updated 5 years ago
- SafeLife: safety benchmarks for reinforcement learning agents☆60Updated 4 years ago
- Markov Decision Processes in Python☆15Updated 6 years ago
- ☆28Updated 2 years ago
- Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuator…☆28Updated 10 months ago
- Understanding RL vision Distill article☆23Updated 2 years ago
- ☆28Updated 3 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Evaluating different engineering tricks that make RL work☆15Updated 4 years ago
- Collection of in-progress libraries for entity neural networks.☆30Updated 3 years ago
- Training (hopefully) safe agents in gridworlds☆25Updated 6 years ago
- Experiments in applying interpretability techniques to learned reward functions.☆10Updated 4 years ago
- Library to compare and evaluate reward functions☆67Updated last year
- Fully differentiable RL environments, written in Ivy.☆65Updated last year
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- ☆52Updated 2 years ago