Games-and-Simulations / StarAlgoLinks
A squad movement planning library for StarCraft AI using Monte Carlo Tree Search and Negamax
☆14Updated 6 years ago
Alternatives and similar repositories for StarAlgo
Users that are interested in StarAlgo are comparing it to the libraries listed below
Sorting:
- ☆10Updated 4 years ago
- ☆19Updated 4 years ago
- ☆35Updated 7 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger☆32Updated 4 years ago
- ☆44Updated 6 years ago
- Reinforcement Learning Assembly☆92Updated 4 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- ☆16Updated 3 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆22Updated 7 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 4 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 7 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Code for abstracting, evaluating, and visualizing Markov Decision Processes.☆10Updated 8 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Decoupling Dynamics and Reward for Transfer Learning☆16Updated 7 years ago
- ☆14Updated 6 years ago
- TD-Regularized Actor-Critic Methods☆35Updated 5 years ago
- ☆17Updated 4 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 7 years ago
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 4 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 3 years ago