SuReLI / dyna-gymLinks
This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
☆32Updated 6 years ago
Alternatives and similar repositories for dyna-gym
Users that are interested in dyna-gym are comparing it to the libraries listed below
Sorting:
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆77Updated 5 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆31Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆164Updated 2 years ago
- ☆80Updated 2 years ago
- ☆85Updated 4 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- INTeractive learning via REPresentatIon Discovery☆34Updated last year
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆154Updated 3 years ago
- A framework for experimenting with never-ending learning☆80Updated last year
- Reward Learning by Simulating the Past☆46Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆208Updated 4 years ago
- PyTorch code to train and evaluate Procgen tasks☆25Updated 5 years ago
- ☆43Updated 8 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Library to compare and evaluate reward functions☆67Updated 2 years ago