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

AgentMixer: Multi-Agent Correlated Policy Factorization AAAI 2025
Learning Interpretable Features from Interventions RSS 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories RSS 2025
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024
Efficient SQA from Long Audio Contexts: A Policy-driven Approach INTERSPEECH 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning NIPS 2024
Diffusion-Reward Adversarial Imitation Learning NIPS 2024
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games AAAI 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning NIPS 2024
Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NIPS 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NIPS 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
Recent Advancements in Inverse Reinforcement Learning AAAI 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NIPS 2024
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains IJCAI 2024
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024