Simple environment for creating very simple 2D games and training neural network models to perform tasks within them
☆246Oct 21, 2019Updated 6 years ago
Alternatives and similar repositories for MazeBase
Users that are interested in MazeBase are comparing it to the libraries listed below
Sorting:
- Implementation of "Control of Memory, Active Perception, and Action in Minecraft"☆86Dec 23, 2016Updated 9 years ago
- Reinforcement learning environments for Torch7☆91Dec 15, 2016Updated 9 years ago
- ☆98Aug 25, 2016Updated 9 years ago
- NIPS 2017 Value Prediction Network☆167Jan 12, 2018Updated 8 years ago
- Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"☆291Jan 20, 2017Updated 9 years ago
- Reinforcement learning with unsupervised auxiliary tasks☆423Feb 13, 2019Updated 7 years ago
- We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from…☆98Dec 7, 2015Updated 10 years ago
- A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130☆1,326Sep 16, 2020Updated 5 years ago
- Value Iteration Networks☆291Apr 21, 2017Updated 8 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆95Apr 7, 2018Updated 7 years ago
- Firmware for BridgeIC functionality for 1S servers for Yosemite Platform☆12Jun 10, 2019Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Sep 22, 2017Updated 8 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆81Nov 22, 2017Updated 8 years ago
- ☆58May 26, 2016Updated 9 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Apr 10, 2016Updated 9 years ago
- Distributed A3C☆34Dec 22, 2017Updated 8 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,045Jun 10, 2023Updated 2 years ago
- ☆160Jul 21, 2017Updated 8 years ago
- Modular multitask reinforcement learning with policy sketches☆110Jul 7, 2021Updated 4 years ago
- Memory Networks implementations☆1,753Jul 28, 2020Updated 5 years ago
- Torch-twrl is a package that enables reinforcement learning in Torch.☆250May 27, 2017Updated 8 years ago
- Persistent advantage learning dueling double DQN for the Arcade Learning Environment☆263Feb 8, 2018Updated 8 years ago
- Model-Free Episodic Control☆14Jan 12, 2017Updated 9 years ago
- Publicly releasable baselines for the Retro contest☆129Nov 22, 2018Updated 7 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆662Sep 6, 2019Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning☆444Feb 21, 2019Updated 7 years ago
- Deterministic Policy Gradient using torch7☆43Jun 2, 2016Updated 9 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆730Nov 22, 2018Updated 7 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Jul 25, 2016Updated 9 years ago
- Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736☆218Jan 3, 2017Updated 9 years ago
- An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521☆160Jan 7, 2016Updated 10 years ago
- Autograd automatically differentiates native Torch code☆559Oct 21, 2021Updated 4 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,121Oct 13, 2017Updated 8 years ago
- A starter agent that can solve a number of universe environments.☆1,105Apr 7, 2018Updated 7 years ago
- A Compositional Object-Based Approach to Learning Physical Dynamics☆174Mar 7, 2017Updated 8 years ago
- Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"☆114Feb 8, 2016Updated 10 years ago
- Train an RL agent to play multiple Atari games at once☆69Jun 6, 2016Updated 9 years ago
- Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆21Dec 15, 2016Updated 9 years ago
- ☆44Dec 4, 2018Updated 7 years ago