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Showing 601–650 of 677 papers

TitleStatusHype
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement LearningCode0
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity—0
Towards Model-based Reinforcement Learning for Industry-near EnvironmentsCode0
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment—0
Learning Policies through Quantile Regression—0
ORRB -- OpenAI Remote Rendering BackendCode0
Exploring Model-based Planning with Policy NetworksCode0
Calibrated Model-Based Deep Reinforcement LearningCode0
Reward Prediction Error as an Exploration Objective in Deep RL—0
Robust Reinforcement Learning for Continuous Control with Model Misspecification—0
Language as an Abstraction for Hierarchical Deep Reinforcement LearningCode0
Learning Powerful Policies by Using Consistent Dynamics ModelCode0
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement LearningCode0
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy—0
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction—0
Policy Search by Target Distribution Learning for Continuous Control—0
Imitation Learning from Video by Leveraging Proprioception—0
Evolving Rewards to Automate Reinforcement Learning—0
Leveraging exploration in off-policy algorithms via normalizing flowsCode0
P3O: Policy-on Policy-off Policy OptimizationCode0
Collaborative Evolutionary Reinforcement LearningCode0
Composing Complex Skills by Learning Transition Policies with Proximity Reward Induction—0
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies—0
SUPERVISED POLICY UPDATECode0
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation—0
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from ObservationsCode0
Generalized Off-Policy Actor-Critic—0
Towards Characterizing Divergence in Deep Q-Learning—0
Provably Robust Blackbox Optimization for Reinforcement Learning—0
α-Rank: Multi-Agent Evaluation by Evolution—0
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex EnvironmentsCode0
Learn a Prior for RHEA for Better Online Planning—0
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning—0
Lyapunov-based Safe Policy Optimization for Continuous ControlCode0
Action Robust Reinforcement Learning and Applications in Continuous ControlCode0
WALL-E: An Efficient Reinforcement Learning Research FrameworkCode0
Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies—0
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning—0
A Logarithmic Barrier Method For Proximal Policy Optimization—0
Residual Policy LearningCode0
Generative Adversarial Self-Imitation Learning—0
Simple random search of static linear policies is competitive for reinforcement learningCode0
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning—0
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement LearningCode0
Episodic Curiosity through ReachabilityCode0
Understanding the Asymptotic Performance of Model-Based RL Methods—0
Improving On-policy Learning with Statistical Reward Accumulation—0
Risk-Sensitive Generative Adversarial Imitation Learning—0
ToriLLE: Learning Environment for Hand-to-Hand CombatCode0
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning—0
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