Highlights
- Pro
Stars
Learning representations for RL in Healthcare under a POMDP assumption
Open AI Gym Environment For MIMIC Dataset Sepsis Patient
K* search based implementation of top-k and top-quality planners
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning"
Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Random syntax generator with reasoner and LSTM
Convert Machine Learning Code Between Frameworks
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Code for "Planning from Pixels using Inverse Dynamics Models"
Code for "Learning to Reach Goals via Iterated Supervised Learning"
Code for the paper "Meta-Learning Shared Hierarchies"
Simple and easily configurable grid world environments for reinforcement learning
Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".