Co-occurring keywords · papers mentioning both
Papers
Influence-Based Multi-Agent Exploration
ICLR 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
ACML 2020
Learning Expensive Coordination: An Event-Based Deep RL Approach
ICLR 2020
Learning Guidance Rewards with Trajectory-space Smoothing
NeurIPS 2020
Learning Task-Driven Control Policies via Information Bottlenecks
RSS 2020
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
ICML 2020
Learning to Score Behaviors for Guided Policy Optimization
ICML 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
NeurIPS 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
AAAI 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
NeurIPS 2020
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems
ACL 2020
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words
AAAI 2020
Momentum-Based Policy Gradient Methods
ICML 2020
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
ICLR 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
IJCAI 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods
ICML 2020
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning
AISTATS 2020
Optimizing for the Future in Non-Stationary MDPs
ICML 2020
Options of Interest: Temporal Abstraction with Interest Functions
AAAI 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
NeurIPS 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
L4DC 2020
Policy Search by Target Distribution Learning for Continuous Control
AAAI 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
ICLR 2020
Projection-Based Constrained Policy Optimization
ICLR 2020
Provably Efficient Exploration in Policy Optimization
ICML 2020