akirasosa / aie-trainLinks
AI Economist Training Examples
☆12Updated 4 years ago
Alternatives and similar repositories for aie-train
Users that are interested in aie-train are comparing it to the libraries listed below
Sorting:
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆32Updated 6 years ago
- Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.☆12Updated 6 years ago
- ☆51Updated last year
- TensorFlow 2.0 for Deep Reinforcement Learning.☆87Updated 2 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆101Updated 2 years ago
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)☆488Updated 4 months ago
- A Python interface for reinforcement learning environments☆375Updated 2 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141☆57Updated 4 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated 2 years ago
- TensorFlow implementation of asynchronous advantage actor-critic (A3C)☆39Updated 3 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆301Updated 2 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- Negotiation Multi-Agent System (A negotiation library designed for situated negotiations within business-like simulations)☆69Updated 2 weeks ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆82Updated 6 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆327Updated 3 years ago
- Library for running a Monte Carlo tree search, either traditionally or with expert policies☆127Updated last year
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- A PyTorch Library for Reinforcement Learning Research☆198Updated 2 months ago
- ☆71Updated 2 years ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆141Updated 5 years ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆502Updated 6 months ago