Code for the paper "Meta-Learning Shared Hierarchies"
☆617Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for mlsh
Users that are interested in mlsh are comparing it to the libraries listed below
Sorting:
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆309Apr 13, 2023Updated 2 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆828Apr 2, 2023Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Mar 14, 2018Updated 7 years ago
- Code for the paper "Evolved Policy Gradients"☆253Nov 22, 2018Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆436Nov 28, 2023Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆730Nov 22, 2018Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Apr 17, 2018Updated 7 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆408Oct 7, 2023Updated 2 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆348Nov 22, 2018Updated 7 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,625Oct 31, 2019Updated 6 years ago
- RUDDER for ATARI games with delayed rewards in OpenAI Baselines package☆268Oct 24, 2019Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,470Dec 7, 2022Updated 3 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆830Aug 12, 2021Updated 4 years ago
- ICML 2018 Self-Imitation Learning☆278Apr 18, 2020Updated 5 years ago
- Code for the paper "Exploration by Random Network Distillation"☆930Oct 1, 2020Updated 5 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,045Jun 10, 2023Updated 2 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆182Sep 21, 2017Updated 8 years ago
- ☆119Jul 9, 2020Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,875May 29, 2022Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆270May 20, 2020Updated 5 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆664Jan 19, 2023Updated 3 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆973Jan 11, 2019Updated 7 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,168Apr 2, 2023Updated 2 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆662Sep 6, 2019Updated 6 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,650Aug 1, 2024Updated last year
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Mar 25, 2018Updated 7 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆117Dec 13, 2019Updated 6 years ago
- This is my implementation of the Optimality Tightening☆37Apr 26, 2017Updated 8 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,019Mar 13, 2019Updated 6 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,121Oct 13, 2017Updated 8 years ago
- Collection of reinforcement learning algorithms☆2,867Jun 17, 2024Updated last year
- Guided Policy Search☆604Feb 9, 2021Updated 5 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Dec 1, 2022Updated 3 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆876Dec 27, 2022Updated 3 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆780Dec 19, 2023Updated 2 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Jan 5, 2019Updated 7 years ago
- Reinforcement Learning in PyTorch☆2,275Jan 4, 2021Updated 5 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Nov 1, 2017Updated 8 years ago
- Code for "One-Shot Visual Imitation Learning via Meta-Learning"☆292Oct 8, 2018Updated 7 years ago