Linjie Xu's repositories
CORL
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC
D4RL
A collection of reference environments for offline reinforcement learning
impact-driven-exploration
impact-driven-exploration
DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
edp
[NeurIPS 2023] Efficient Diffusion Policy
epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
homomorphic_policy_gradient
Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022
IDQL
Repo for Implicit Diffusion Q-Learning
LaMo-2023
Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
latentplan
Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preference space in a given domain.
pymarl
Python Multi-Agent Reinforcement Learning framework
rlkit
Collection of reinforcement learning algorithms
smac
SMAC: The StarCraft Multi-Agent Challenge
spr
Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
SynthER
Synthetic Experience Replay
TD7
Author's PyTorch implementation of TD7 for online and offline RL
VE-principle-for-model-based-RL
Repository for ML Reproducibility Challenge 2020 for the Neurips paper, "The Value Equivalence Principle for Model-Based Reinforcement Learning"
XQL
Extreme Q-Learning: Max Entropy RL without Entropy