Search Results for author:
Found 5 papers, 4 papers with code
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
It also features a large combinatorial action space and simultaneous moves, which are challenging for RL algorithms.
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Learning Reciprocity in Complex Sequential Social Dilemmas
We analyse the resulting policies to show that the reciprocating agents are strongly influenced by their co-players' behavior.
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
We propose a model-free deep reinforcement learning method that leverages a small amount of demonstration data to assist a reinforcement learning agent.
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
We propose zoneout, a novel method for regularizing RNNs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
