A Survey Analyzing Generalization in Deep Reinforcement Learning
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Updated
Jan 6, 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning
meta-RL soft actor-critic with BRUNO for task inference
The proceedings of top conference in 2020 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Rapid Policy Transfer in Reinforcement Learning - Graduation Project
The proceedings of top conference in 2021 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Python code to implement hard sampling based task representation learning for robust offline meta RL
The proceedings of top conference in 2017 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Implementation of the paper "MERINA+: Improving Generalization for Neural Video Adaptation via Information-Theoretic Meta-Reinforcement Learning" - N. Kan, et. al., 2023
Code snippets of Meta Reinforcement Learning algorithms
Code for the paper "Meta-Reinforcement Learning by Tracking Task Non-stationarity" (IJCAI 2021)
PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!
Code for the "Evolving Reservoirs for Meta Reinforcement Learning" paper
Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details!
A collection of Meta-Reinforcement Learning algorithms in PyTorch
🎉🎨 This repository contains a reading list of papers with code on **Meta-Learning** and ***Meta-Reinforcement-Learning*
Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS)
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