Co-occurring keywords · papers mentioning both
Papers
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
ICLR 2023
Direct Preference-based Policy Optimization without Reward Modeling
NeurIPS 2023
Distributed Offline Policy Optimization Over Batch Data
AISTATS 2023
Distributional Multi-Objective Decision Making
IJCAI 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
ICML 2023
Efficient Diffusion Policies For Offline Reinforcement Learning
NeurIPS 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
ICML 2023
Efficient Offline Policy Optimization with a Learned Model
ICLR 2023
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
IJCAI 2023
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
ICLR 2023
Eventual Discounting Temporal Logic Counterfactual Experience Replay
ICML 2023
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
ICLR 2023
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
NeurIPS 2023
Heuristic Search for Multi-Objective Probabilistic Planning
AAAI 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NeurIPS 2023
Human-level Atari 200x faster
ICLR 2023
Hybrid Policy Optimization from Imperfect Demonstrations
NeurIPS 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
NeurIPS 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
ICML 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
JMLR 2023
Iteratively Learn Diverse Strategies with State Distance Information
NeurIPS 2023
Iterative Reachability Estimation for Safe Reinforcement Learning
NeurIPS 2023
Latent exploration for Reinforcement Learning
NeurIPS 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
NeurIPS 2023
Learning from Active Human Involvement through Proxy Value Propagation
NeurIPS 2023