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reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models L4DC 2020
Conservative Exploration in Reinforcement Learning AISTATS 2020
Flightmare: A Flexible Quadrotor Simulator CORL 2020
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing CORL 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CORL 2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning CORL 2020
Chaining Behaviors from Data with Model-Free Reinforcement Learning CORL 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CORL 2020
Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation SEMEVAL 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects CORL 2020
Controlling Contact-Rich Manipulation Under Partial Observability RSS 2020
Attention-Privileged Reinforcement Learning CORL 2020
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency CORL 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CORL 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning COLT 2020
Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions RSS 2020
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations RSS 2020
Deep Drone Acrobatics RSS 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020