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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NIPS 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss NIPS 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations NIPS 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021
Discovering and Achieving Goals via World Models NIPS 2021
Optimal Policies Tend To Seek Power NIPS 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NIPS 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning NIPS 2021
Average-Reward Learning and Planning with Options NIPS 2021
Two steps to risk sensitivity NIPS 2021
Reinforcement Learning with Latent Flow NIPS 2021
Reinforcement Learning in Newcomblike Environments NIPS 2021
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation NIPS 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives NIPS 2021
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark NIPS 2021
Bridging the Imitation Gap by Adaptive Insubordination NIPS 2021
Autonomous Reinforcement Learning via Subgoal Curricula NIPS 2021
Behavior From the Void: Unsupervised Active Pre-Training NIPS 2021
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021