Non-modular implementation of common RL algorithms
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Updated
May 3, 2023 - Python
Non-modular implementation of common RL algorithms
Reinforcement Learning (COMP 579) Project
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
The source code to Cross-Validated Off-Policy Evaluation
RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
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
Learning from Sparse Offline Datasets via Conservative Density Estimation (ICLR 2024)
Code for Tackling Long-Horizon Tasks with Model-based Offline Reinforcement Learning
Implementation and comparison of offline RL algorithms
A Production Tool for Embodied AI
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
The proceedings of top conference in 2020 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Benchmark for "Offline Policy Comparison with Confidence"
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