Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: ns3-gym: Extending OpenAI Gym for Networking Research
OpenAI Gym
Markov Games as a Framework for Multi-Agent Reinforcement Learning
Noisy Networks for Exploration
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
GANGs: Generative Adversarial Network Games
GA3C: GPU-based A3C for Deep Reinforcement Learning
Network of Bandits
Learning and evaluating human-like NPC behaviors in dynamic games
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Using Transfer Learning Between Games to Improve Deep Reinforcement Learning Performance
Learning model-based strategies in simple environments with hierarchical q-networks
DeepMind Control Suite
Modeling of Agent Cognition in Extensive Games via Artificial Neural Networks
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Crawling in Rogue's dungeons with (partitioned) A3C
Multiagent Reinforcement Learning in Stochastic Games
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Best-Response Multiagent Learning in Non-Stationary Environments
Feminizing Robots: User Responses to Gender Cues on Robot Body and Screen
Consistent Algorithms for Multiclass Classification with a Reject Option
Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures
Resource Management with Deep Reinforcement Learning
Image Classification with the Fisher Vector: Theory and Practice