conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024
Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024
Retrieval-Augmented Embodied Agents CVPR 2024
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving AAAI 2024
Embodied Human Activity Recognition WACV 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024
Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios CVPR 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NIPS 2024
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NIPS 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling AAAI 2024
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
Rating-Based Reinforcement Learning AAAI 2024
Opponent Modeling with In-context Search NIPS 2024
Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024
Efficient SQA from Long Audio Contexts: A Policy-driven Approach INTERSPEECH 2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024