facebookresearch / starcraft_defoggerLinks
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
☆31Updated 3 years ago
Alternatives and similar repositories for starcraft_defogger
Users that are interested in starcraft_defogger are comparing it to the libraries listed below
Sorting:
- An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018☆15Updated 6 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆22Updated 6 years ago
- Decoupling Dynamics and Reward for Transfer Learning☆16Updated 6 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆10Updated 7 years ago
- Separating value functions across time-scales.☆17Updated 6 years ago
- A2C for GVG-AI☆21Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Dataset for the spaceship task from "Metacontrol for Adaptive Imagination-Based Optimization"☆56Updated 8 years ago
- Reinforcement learning algorithm implementations and ML experimentation workspace☆43Updated 6 years ago
- Reinforcement learning in 3D.☆21Updated 8 years ago
- TargetProp for RNNs☆27Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- Tensorflow Implementation of Programmable Agents☆35Updated 7 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- ☆44Updated 6 years ago
- ☆48Updated 5 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- Surprise-based intrinsic motivation for deep reinforcement learning☆20Updated 8 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 4 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆82Updated 6 years ago
- Training Sonic with RLlib☆59Updated 2 years ago
- Easing non-convex optimization with neural networks.☆23Updated 6 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks☆40Updated 5 years ago