stochastic environment

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping L4DC 2026 Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction ICLR 2025 CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents ICLR 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 Expected flow networks in stochastic environments and two-player zero-sum games ICLR 2024 Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring ICML 2024 The Effective Horizon Explains Deep RL Performance in Stochastic Environments ICLR 2024 An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits NeurIPS 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023 DiSProD: Differentiable Symbolic Propagation of Distributions for Planning IJCAI 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023 Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning NeurIPS 2023 Reader: Model-based language-instructed reinforcement learning EMNLP 2023 Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023 Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Fully General Online Imitation Learning JMLR 2022 Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds AAAI 2022 Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs NeurIPS 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 USHER: Unbiased Sampling for Hindsight Experience Replay CoRL 2022 You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments NeurIPS 2022 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 Monte Carlo Tree Search With Iteratively Refining State Abstractions NeurIPS 2021