gsastry / human-rlLinks
Code for human intervention reinforcement learning
☆35Updated 7 years ago
Alternatives and similar repositories for human-rl
Users that are interested in human-rl are comparing it to the libraries listed below
Sorting:
- ☆35Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 5 years ago
- Inferring beliefs about dynamics from behavior☆30Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 9 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Reward Learning by Simulating the Past☆46Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- ☆44Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆154Updated 8 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 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
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- hierarchical deep reinforcement learning algorithms☆42Updated 7 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Updated 7 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago