no code implementations • 9 May 2023 • Keyang He, Prashant Doshi, Bikramjit Banerjee
There is a prevalence of multiagent reinforcement learning (MARL) methods that engage in centralized training.
no code implementations • 17 Jun 2021 • Keyang He, Prashant Doshi, Bikramjit Banerjee
Recent renewed interest in multi-agent reinforcement learning (MARL) has generated an impressive array of techniques that leverage deep reinforcement learning, primarily actor-critic architectures, and can be applied to a limited range of settings in terms of observability and communication.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 15 Oct 2020 • Keyang He, Bikramjit Banerjee, Prashant Doshi
As such, the individual agent in the organization must cooperate and compete.
no code implementations • 23 May 2018 • Roi Ceren, Prashant Doshi, Keyang He
We introduce reinforcement learning for heterogeneous teams in which rewards for an agent are additively factored into local costs, stimuli unique to each agent, and global rewards, those shared by all agents in the domain.