mrahtz / gym-moving-dot
A simple moving dot environment for OpenAI Gym to test reinforcement learning algorithms
☆21Updated 2 years ago
Related projects: ⓘ
- some common TD Learning algorithms☆67Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆85Updated 5 years ago
- A simple Gridworld environment for Open AI gym☆24Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 6 years ago
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆30Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆90Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- ☆44Updated 5 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆30Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 4 years ago
- Our NIPS 2017: Learning to Run source code☆56Updated last year
- ☆27Updated 3 years ago
- Hierarchical Self-Play☆21Updated 5 years ago
- StarCraft: BroodWars OpenAI Gym environment☆79Updated 5 years ago
- ☆25Updated 5 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 3 weeks ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 3 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆93Updated 4 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆197Updated 3 years ago
- This package allows to use PLE as a gym environment.☆73Updated 4 years ago
- Reinforcement learning algorithms☆39Updated 5 years ago
- A reinforcement learning framework☆154Updated 5 years ago
- ☆22Updated 5 years ago
- ☆85Updated 3 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆77Updated 11 months ago
- Simple change of a3c to a2c☆15Updated 7 years ago
- Combining deep learning and reinforcement learning.☆81Updated 2 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 6 years ago