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  · Interactive MORL
  · Reward shaping
  · Solution sets in MORL
  · Stationary policies
- · Andrychowicz et al. (2018): Hindsight Experience Replay
  · Basaklar et al. (2023): PD-MORL: Preference-Driven Mul...
  · Böhmer et al. (2019): Exploration with Unreliable In...
  · Lu et al. (2023): Inferring Preferences from Dem...
  · Moffaert et al. (2013): Scalarized multi-objective rei...
  · Peschl et al. (2021): MORAL: Aligning AI with Human ...
  · Reyes et al. (2022): Curiosity-Driven Multi-Agent E...
  · Roijers et al. (2020): Interactive multi-objective re...
  · Röpke et al. (2023): Distributional multi-objective...
  · Röpke et al. (2024): Divide and Conquer: Provably U...
  · Siddique et al. (2020): Learning Fair Policies in Mult...
  · Yang et al. (2020): CM3: Cooperative Multi-goal Mu...

Folder: Papers

12 items under this folder.

2020
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
2021
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning
2020
Interactive multi-objective reinforcement learning in multi-armed bandits for any utility function
2023
Distributional multi-objective decision making
- #paper
2024
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
- #paper
2013
Scalarized multi-objective reinforcement learning: Novel design techniques
2023
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach
2023
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
2022
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
2018
Hindsight Experience Replay
- #paper
- #rl