CarsonScott / Dual-Process-ReinforcementLinks
An intelligent agent that adaptively changes its thought processes to maximize cumulative reward
☆12Updated 8 years ago
Alternatives and similar repositories for Dual-Process-Reinforcement
Users that are interested in Dual-Process-Reinforcement are comparing it to the libraries listed below
Sorting:
- An agent library for systems of nested automata.☆43Updated 8 years ago
- A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems☆43Updated 8 years ago
- Python implementation of tabular asynchronous actor critic☆11Updated 9 years ago
- Sample code for generative recurrent autoencoders.☆26Updated 8 years ago
- Scripts to generate a dataset with static frames from the Arcade Learning Environment☆19Updated 11 years ago
- Conditional Associative Logic Memory☆27Updated 7 years ago
- Theano implementation of the Neural GPU☆15Updated 9 years ago
- Domain independent implementation of Monte Carlo Tree Search methods.☆17Updated 7 years ago
- Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.☆12Updated 8 years ago
- Modeling agents with probabilistic programs☆67Updated 5 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆71Updated 4 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Updated 9 years ago
- Re-usable low-level ML components☆10Updated 6 years ago
- Research Debt☆26Updated 7 years ago
- The AGI Concept Map is my attempt at reconstructing all the internal knowledge I've acquired about artificial general intelligence over t…☆14Updated 5 years ago
- pybullet_animations☆12Updated 7 years ago
- Python wrappers for Pachi. Contains a modified version of the bleeding-edge Pachi source code.☆40Updated 2 years ago
- Intu is a Cognitive Embodiment Middleware for AI on the edge.☆31Updated 8 months ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 9 years ago
- Online machine learning algorithm that makes predictions about the environment to improve itself.☆60Updated 8 years ago
- This demo shows how to learn a neural network on top of decision trees☆32Updated 8 years ago
- A probabilistic programming language, based on Church☆17Updated 7 years ago
- Unsupervised Perceptual Rewards for Imitation Learning☆11Updated 7 years ago
- Lightweight CycleGAN tensorflow implementation 🦁 <-> 🐆☆35Updated 8 years ago
- A large collection of example and demo Soar agents for a variety of domains and problems.☆24Updated 7 years ago
- MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)☆49Updated 14 years ago
- Markov Decision Processes in Python☆15Updated 6 years ago
- Semantic Parser with Execution☆12Updated 7 years ago
- Attempt at using neural networks for the bAbI project (https://research.facebook.com/researchers/1543934539189348)☆8Updated 9 years ago
- ☆42Updated 3 years ago