FrankTianTT

laikago_robot

laikago_py

math2notion

An extremely simple converter from LaTeX or Markdown to Notion that resolves issues with mathematical formulas.

causal-mbrl

Toolkit of Causal Model-based Reinforcement Learning.

emei

Emei is a toolkit for developing causal reinforcement learning algorithms.

INTACT

Identifiable aNd TrAnsferable Causal meTa World Model.

blog_web

AdaRL-code

Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

causal_interpretable_mbrl

CCIT

Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing

CI-test-tools

Tools for Conditional Independent test with python.

d4rl

A benchmark for offline reinforcement learning.

dreamer-pro

dreamerv2

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

dreamerv2_tf

Mastering Atari with Discrete World Models

FrankTianTT

GitHub profile

HCI-frontend

frontend code for HCI project.

Iso-Dream

MAPLE

The Official Code for Offline Model-based Adaptable Policy Learning

mbrl-lib

Library for Model Based RL

MinAtar

mlpractical

Machine Learning Practical Course Code Repository

Multi-aspect-Reinforcement-Recommendation

Course project for https://deeppavlov.ai/rl_course_2020

policy_gradient_aware_model_loss

Policy gradient aware model loss.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.