conftrace_

regret bound

1926 papers

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Also known as

RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

Scheduling jobs with stochastic holding costs NIPS 2021
Understanding Bandits with Graph Feedback NIPS 2021
A Gang of Adversarial Bandits NIPS 2021
Regulating Greed Over Time in Multi-Armed Bandits JMLR 2021
Bandit Phase Retrieval NIPS 2021
Towards Reducing Biases in Combining Multiple Experts Online IJCAI 2021
On the Optimality of Batch Policy Optimization Algorithms ICML 2021
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions ICML 2021
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs ICML 2021
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021
Jointly Learning Prices and Product Features IJCAI 2021
Private Adaptive Gradient Methods for Convex Optimization ICML 2021
Meta-Thompson Sampling ICML 2021
Matrix games with bandit feedback UAI 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021
Towards tractable optimism in model-based reinforcement learning UAI 2021
Combinatorial semi-bandit in the non-stationary environment UAI 2021
Communication efficient parallel reinforcement learning UAI 2021
CORe: Capitalizing On Rewards in Bandit Exploration UAI 2021
Learning in Multi-Player Stochastic Games UAI 2021
Multi-task and meta-learning with sparse linear bandits UAI 2021
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits NIPS 2021