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conftrace_

deep reinforcement learning

1,008 papers

DEEP RL DRL

Papers

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning ICML 2023 Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning RSS 2023 SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning NeurIPS 2023 StateMask: Explaining Deep Reinforcement Learning through State Mask NeurIPS 2023 STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning AAAI 2023 Successor-Predecessor Intrinsic Exploration NeurIPS 2023 SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning IJCAI 2023 Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023 The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023 Towards Disturbance-Free Visual Mobile Manipulation WACV 2023 Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023 Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract) AAAI 2023 Understanding Plasticity in Neural Networks ICML 2023 Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023 VA-learning as a more efficient alternative to Q-learning ICML 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Weakly Coupled Deep Q-Networks NeurIPS 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs AAAI 2022 AME: Attention and Memory Enhancement in Hyper-Parameter Optimization CVPR 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NeurIPS 2022 An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation AAAI 2022 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language ICML 2022 Asymmetric DQN for partially observable reinforcement learning UAI 2022