chrischute / pbtLinks
Population-Based Training in Python
☆18Updated 6 years ago
Alternatives and similar repositories for pbt
Users that are interested in pbt are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 4 years ago
- Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…☆32Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- ☆43Updated 6 years ago
- ☆80Updated last year
- Implementation of Neural Episodic Control in Tensorflow☆27Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆62Updated last year
- ☆45Updated 5 years ago
- Reinforcement Learning Assembly☆92Updated 3 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 6 years ago
- ☆44Updated 6 years ago
- Reward Learning by Simulating the Past☆44Updated 6 years ago
- Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)☆15Updated 5 years ago
- ☆31Updated 6 years ago
- ☆61Updated 2 years ago
- ☆21Updated 6 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆37Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆95Updated 4 years ago
- PyTorch implementation of Proximal Policy Optimization☆52Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".☆38Updated 3 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆42Updated 5 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago