Reinforcement Learning

Online Inverse Reinforcement Learning with Learned Observation Model CoRL 2022 Online Learning for Unknown Partially Observable MDPs AISTATS 2022 Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022 Online Reinforcement Learning for Mixed Policy Scopes NeurIPS 2022 On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning ICLR 2022 On Optimizing Interventions in Shared Autonomy AAAI 2022 On-Policy Model Errors in Reinforcement Learning ICLR 2022 On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NeurIPS 2022 On-Robot Learning With Equivariant Models CoRL 2022 On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) JMLR 2022 On the convergence of policy gradient methods to Nash equilibria in general stochastic games NeurIPS 2022 On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning ICLR 2022 On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022 On the Convergence Rates of Policy Gradient Methods JMLR 2022 On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NeurIPS 2022 On the Effectiveness of Iterative Learning Control L4DC 2022 On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NeurIPS 2022 On the Expressivity of Markov Reward (Extended Abstract) IJCAI 2022 On the Generalization of Representations in Reinforcement Learning AISTATS 2022 On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NeurIPS 2022 On the Global Optimum Convergence of Momentum-based Policy Gradient AISTATS 2022 On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces ICML 2022 On the (In)Tractability of Reinforcement Learning for LTL Objectives IJCAI 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NeurIPS 2022