maohangyu

marl_demo. demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention Multi-Agent DDPG) and NCC-MARL (Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning).

TIT_open_source. The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"

PET-SQL. PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency

PDiT. PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presentation).

ptde-open. This is codes of PTDE algorithms. Accepted by IJCAI 2024. Ptde: Personalized training with distilled execution for multi-agent reinforcement learning.

TPTU-v2. Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems