Avoiding collaborative paradox in multi‐agent reinforcement learning
The collaboration productively interacting between multi‐agents has become an emerging
issue in real‐world applications. In reinforcement learning, multi‐agent environments …
issue in real‐world applications. In reinforcement learning, multi‐agent environments …
Learning Invariant Reward Functions through Trajectory Interventions
Inverse reinforcement learning methods aim to retrieve the reward function of a Markov
decision process based on a dataset of expert demonstrations. The commonplace scarcity of …
decision process based on a dataset of expert demonstrations. The commonplace scarcity of …