Master's Degree Thesis: Applying Reinforcement Learning to Option Pricing and Hedging
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Updated
May 15, 2024
Master's Degree Thesis: Applying Reinforcement Learning to Option Pricing and Hedging
Codes for "Learning from Sparse Offline Datasets via Conservative Density Estimation"
Implementation and comparison of offline RL algorithms
The easiest way to copy your flight log files and videos from racing drones and goggles DVR.
Reinforcement Learning (COMP 579) Project
[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146
Implementation of Fisher_BRC in "Offline Reinforcement Learning with Fisher Divergence Critic Regularization" based on BRAC family.
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 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Offline Reinforcement Learning Framework in JAX
Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.
Non-modular implementation of common RL algorithms
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Large-Scale and Comprehensive Data Hub for Reinforcement Learning
Python code to implement hard sampling based task representation learning for robust offline meta RL
Benchmark for "Offline Policy Comparison with Confidence"
Code for Sequential Evaluation of Offline RL paper
Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment 🔑
"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning" (NeurIPS 2022)
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