Co-occurring keywords · papers mentioning both
Papers
Gradient Surgery for Multi-Task Learning
NeurIPS 2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
CoRL 2020
High-Throughput Synchronous Deep RL
NeurIPS 2020
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
IJCAI 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
IJCAI 2020
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
ICLR 2020
Inferring DQN structure for high-dimensional continuous control
ICML 2020
Interferobot: aligning an optical interferometer by a reinforcement learning agent
NeurIPS 2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
EMNLP 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NeurIPS 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
IJCAI 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning
AAAI 2020
Learning Dialog Policies from Weak Demonstrations
ACL 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
ICML 2020
Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning
ICLR 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
NeurIPS 2020
Learning to Follow Directions in Street View
AAAI 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
NeurIPS 2020
Learning to Walk in the Real World with Minimal Human Effort
CoRL 2020
Learning What to Defer for Maximum Independent Sets
ICML 2020
Learning When and Where to Zoom With Deep Reinforcement Learning
CVPR 2020
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games
AAAI 2020
Logic and the 2-Simplicial Transformer
ICLR 2020
MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
IJCAI 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
AAAI 2020