holarissun Goto Github PK

2groza.github.io

accountable-offline-rl

Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples

action-refined-temporal-difference

benchmarkpromptswithresponses

Every prompt engineering paper should provide not only on-average performance of the prompting strategy, but should also release the responses to facilitate future research and avoid repeatedly calling the LLMs for the same queries+prompts.

causal-rl

cuhkrlcourse.github.io

CUHK Reinforcement Learning Course

dauc

Code for Latent Density Models for Uncertainty Categorization

decisionforce.github.io

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

domias

exploiting-exploitation

galaxy_zoo

Unsupervised star-galaxy segmentation and classification

gptchatapi

Usage Example of GPT's API in chat bot applications.

hello-world

the first project by 2groza

hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

holarissun.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hpoker

Texas Hold'EM Poker Game

images

images in markdown files.

indoor-navigation

An research proposal

leetcodesolution

logs for my leetcoding fall 2023

mopa

mphil_thesis

mujoco-pg

PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment

npsco

Code for Novel Policy Seeking with Constrained Optimization

panelgpt

We introduce new zero-shot prompting magic words that improves the reasoning ability of language models: panel discussion!

paperreading

slides

pchid_code

Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics

policy-continuation-with-hindsight-inverse-dynamics

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

prompt-oirl

code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning