Search Results for author:
Found 5 papers, 1 papers with code
Cluster dynamics in two-dimensional lattice gases with inter-site interactions
Whereas on-site pairs move in the same lattice as individual particles, nearest-neighbor dimers perform an interacting quantum walk in a different lattice geometry, leading to a peculiar dynamics characterized by more than one time scale.
Quantum Gases Statistical Mechanics Strongly Correlated Electrons
PettingZoo: Gym for Multi-Agent Reinforcement Learning
This paper introduces the PettingZoo library and the accompanying Agent Environment Cycle ("AEC") games model.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Agent Environment Cycle Games
Partially Observable Stochastic Games (POSGs) are the most general and common model of games used in Multi-Agent Reinforcement Learning (MARL).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Multiplayer Support for the Arcade Learning Environment
The Arcade Learning Environment ("ALE") is a widely used library in the reinforcement learning community that allows easy programmatic interfacing with Atari 2600 games, via the Stella emulator.
Characterizing Deep-Learning I/O Workloads in TensorFlow
To measure TensorFlow I/O performance, we first design a micro-benchmark to measure TensorFlow reads, and then use a TensorFlow mini-application based on AlexNet to measure the performance cost of I/O and checkpointing in TensorFlow.
Distributed, Parallel, and Cluster Computing
