continuous control

Analytic Planning under Uncertainty with Moment Closure UAI 2026 Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning AAAI 2026 Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning AAAI 2026 Kernel-Based Safe Exploration in Deep Reinforcement Learning L4DC 2026 Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing CVPR 2026 Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026 Learning Quantized Continuous Controllers for Integer Hardware L4DC 2026 LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026 Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning UAI 2026 Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026 SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy UAI 2026 TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint L4DC 2026 Test-driven Reinforcement Learning in Continuous Control AAAI 2026 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning ICLR 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 Bisimulation Metric for Model Predictive Control ICLR 2025 Bootstrapped Model Predictive Control ICLR 2025 CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics AAAI 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations L4DC 2025 Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025 Diffusing States and Matching Scores: A New Framework for Imitation Learning ICLR 2025 Diffusion Policy Policy Optimization ICLR 2025 Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning ICLR 2025 Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025