IBM / distributed-evolutionary-mlLinks
A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a large number of compute nodes on the IBM Cloud. For now, it only includes an implementation of [Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcem…
☆13Updated 6 years ago
Alternatives and similar repositories for distributed-evolutionary-ml
Users that are interested in distributed-evolutionary-ml are comparing it to the libraries listed below
Sorting:
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Updated 2 years ago
- Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…☆12Updated 5 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- Tiny implementation of Deep-Q Network with Tensorflow☆11Updated 7 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Contextual Bandits Action Elimination DQN☆21Updated 7 years ago
- Kalman Optimization for Value Approximation☆11Updated 5 years ago
- This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.☆6Updated 6 years ago
- ☆11Updated 5 years ago
- 🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray☆18Updated 6 years ago
- Python Q learning implementations and application examples in wireless networks☆18Updated 8 years ago
- Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA☆18Updated 7 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning☆13Updated 5 years ago
- Constrained episodic reinforcement learning in concave-convex and knapsack settings☆11Updated last year
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 8 years ago
- ☆19Updated 3 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 3 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- OpenAI gym agents learning using Natural Evolution Strategies (NES)☆10Updated 4 years ago
- ☆11Updated 4 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Malware Detection based on Network Traffic using Reinforcement Learning☆8Updated 3 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago