Policy Convergence Under the Influence of Antagonistic Agents in Markov Games
Date:
Contributed talk at the NeurIPS 2020 Preregistration workshop. Summary of accepted pre-registered proposal on policy convergence in multi-agent reinforcement learning environments where agents uniformly employ some form of gradient learning. Results forthcoming in PMLR.