A unified algorithm framework for mean-variance optimization in discounted Markov decision processes

von Ma, Shuai
Veröffentlicht in European journal of operational research (2023)

Mildly Conservative Q-Learning for Offline Reinforcement Learning

von Lyu, Jiafei
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 3 of 50 (2023)

Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping

von Sun, Hao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 49 of 50 (2023)

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

von Yang, Rui
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

MODELING THE INTERACTION BETWEEN AGENTS IN COOPERATIVE MULTI-AGENT REINFORCEMENT LEARNING

von Ma, Xiaoteng
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 2 of 3 (2021)

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

von Yang, Yiqin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 13 of 36 (2022)