conftrace_

deep reinforcement learning

903 papers

Explore in graph

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

CAD2RL: Real Single-Image Flight Without a Single Real Image RSS 2017

Thinking Fast and Slow with Deep Learning and Tree Search NIPS 2017

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NIPS 2017

Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning NIPS 2017

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NIPS 2017

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NIPS 2017

Interactive Narrative Personalization with Deep Reinforcement Learning IJCAI 2017

Shallow Updates for Deep Reinforcement Learning NIPS 2017

Neural Episodic Control ICML 2017

Deep Reinforcement Learning from Human Preferences NIPS 2017

Runtime Neural Pruning NIPS 2017

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning NIPS 2017

Sentence Simplification with Deep Reinforcement Learning EMNLP 2017

Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates INTERSPEECH 2017

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017

Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017

End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017

Multi-Task Deep Reinforcement Learning for Continuous Action Control IJCAI 2017

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017

Learning what to read: Focused machine reading EMNLP 2017

Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017