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reinforcement learning

4122 papers

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Also known as

RL REINFORCE

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

Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Near-optimal Regret Bounds for Reinforcement Learning JMLR 2010
Variable Impedance Control - A Reinforcement Learning Approach RSS 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Learning Policy Improvements with Path Integrals AISTATS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Reward Design via Online Gradient Ascent NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Bootstrapping from Game Tree Search NIPS 2009
Code-specific policy gradient rules for spiking neurons NIPS 2009
Solving Stochastic Games NIPS 2009
Policy search via the signed derivative RSS 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009