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Showing 201–250 of 677 papers

TitleStatusHype
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration—0
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling—0
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States—0
ELSIM: End-to-end learning of reusable skills through intrinsic motivation—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction—0
Benchmarking the Sim-to-Real Gap in Cloth Manipulation—0
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation—0
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning—0
Entropy Augmented Reinforcement Learning—0
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)—0
Episodic Reinforcement Learning with Expanded State-reward Space—0
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL—0
Evaluating Robustness of Cooperative MARL—0
DIDA: Denoised Imitation Learning based on Domain Adaptation—0
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication—0
DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects—0
Evolving Rewards to Automate Reinforcement Learning—0
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models—0
A Logarithmic Barrier Method For Proximal Policy Optimization—0
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?—0
Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control—0
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study—0
A Tractable Inference Perspective of Offline RL—0
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture—0
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator—0
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback—0
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback—0
Fast Convergence of Softmax Policy Mirror Ascent—0
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control—0
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning—0
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments—0
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming—0
Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization—0
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation—0
DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety—0
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals—0
Bayesian Distributional Policy Gradients—0
Formal Language Constrained Markov Decision Processes—0
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility—0
From proprioception to long-horizon planning in novel environments: A hierarchical RL model—0
Gaussian Process Policy Optimization—0
Hamiltonian Policy Optimization—0
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