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Policy Learning

2068 directly classified papers

Papers per year

Papers

Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards NIPS 2023
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NIPS 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NIPS 2023
Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023
Hierarchical Imitation Learning with Vector Quantized Models ICML 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks NIPS 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills ICML 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum ICML 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation NIPS 2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NIPS 2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NIPS 2023
Policy Contrastive Imitation Learning ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning IJCAI 2023
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning ICML 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023
Does Sparsity Help in Learning Misspecified Linear Bandits? ICML 2023