Reinforcement Learning (COMP 579) Project
-
Updated
Aug 6, 2023 - Jupyter Notebook
Reinforcement Learning (COMP 579) Project
Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.
Non-modular implementation of common RL algorithms
Implementation of CQL in "Conservative Q-Learning for Offline Reinforcement Learning" based on BRAC family.
Python code to implement hard sampling based task representation learning for robust offline meta RL
Official implementation for "Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows", NeurIPS 2022, Offline RL Workshop
[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146
Master's Degree Thesis: Applying Reinforcement Learning to Option Pricing and Hedging
Original implementations of the VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" by Jeen et. al (2024).
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Codes for "Learning from Sparse Offline Datasets via Conservative Density Estimation"
The proceedings of top conference in 2020 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Implementation and comparison of offline RL algorithms
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
A Production Tool for Embodied AI
Benchmark for "Offline Policy Comparison with Confidence"
Summarising the research of Offline RL in Federated Setting.
Offline Reinforcement Learning Framework in JAX
Add a description, image, and links to the offline-reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the offline-reinforcement-learning topic, visit your repo's landing page and select "manage topics."