on-policy learning

Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning UAI 2026 On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) AAAI 2025 On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025 TreeRL: LLM Reinforcement Learning with On-Policy Tree Search ACL 2025 A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning NeurIPS 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Goal-Conditioned On-Policy Reinforcement Learning NeurIPS 2024 Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees ICLR 2024 Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 On the Convergence of SARSA with Linear Function Approximation ICML 2023 Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning L4DC 2023 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Sequence Model Imitation Learning with Unobserved Contexts NeurIPS 2022 VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement NeurIPS 2022 On-Policy Deep Reinforcement Learning for the Average-Reward Criterion ICML 2021 Phasic Policy Gradient ICML 2021 The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study ICLR 2021 Constrained Markov Decision Processes via Backward Value Functions ICML 2020 Discrete Action On-Policy Learning with Action-Value Critic AISTATS 2020 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019