Implemenation of CORL for Fetch and Unitree A1 tasks
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Updated
Apr 9, 2024 - Python
Implemenation of CORL for Fetch and Unitree A1 tasks
Code for Undergrad Final Year Project “Offline Risk-Averse Actor-Critic with Curriculum Learning”
Offline to Online RL: AWAC & IQL PyTorch Implementation
オフライン強化学習用フレームワーク及びSCQL,SCQL+Dの実装
Need 4 Speed, FYP 2023-24 @ Monash.
🧠 Learning World Value Functions without Exploration
Codes accompanying the paper "On the Role of Discount Factor in Offline Reinforcement Learning" (ICML 2022)
Author's repository for GSM8K-AI-SubQ reasoning dataset
Package for recording Transitions in OpenAI Gym Environments.
Code to reproduce experiments from "User-Interactive Offline Reinforcement Learning" (ICLR 2023)
Direct port of TD3_BC to JAX using Haiku and optax.
Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
PyTorch Implementation of Offline Reinforcement Learning algorithms
Summarising the research of Offline RL in Federated Setting.
[MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003
Code for Continuous Doubly Constrained Batch Reinforcement Learning, NeurIPS 2021.
Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner to achieve near-expert policy performance in environments with irregular time intervals and an unknown constant delay.
Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.09796)
Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model
Clean single-file implementation of offline RL algorithms in JAX
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