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deep reinforcement learning

903 papers

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Also known as

DEEP RL DRL

Co-occurring keywords

reinforcement learning (4122) policy learning (699) sample efficiency (469) neural network (6616) continuous control (246) multi-agent system (1743) policy gradient (518) policy optimization (630) value function (294) off-policy learning (227)

Papers

An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search NIPS 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NIPS 2020
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints NIPS 2020
POMDPs in Continuous Time and Discrete Spaces NIPS 2020
Interferobot: aligning an optical interferometer by a reinforcement learning agent NIPS 2020
Transferable Graph Optimizers for ML Compilers NIPS 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning NIPS 2020
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NIPS 2020
See, Hear, Explore: Curiosity via Audio-Visual Association NIPS 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games NIPS 2020
High-Throughput Synchronous Deep RL NIPS 2020
Cooperative Heterogeneous Deep Reinforcement Learning NIPS 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration NIPS 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NIPS 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NIPS 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020
Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning ICML 2020
Monte-Carlo Tree Search as Regularized Policy Optimization ICML 2020
Representations for Stable Off-Policy Reinforcement Learning ICML 2020
Revisiting Fundamentals of Experience Replay ICML 2020
On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020
Agent57: Outperforming the Atari Human Benchmark ICML 2020