conftrace_

policy learning

702 papers

Explore in graph

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

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 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
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024
Self-Modifying State Modeling for Simultaneous Machine Translation ACL 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
Discovering Agents (Abstract Reprint) AAAI 2024
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs ACL 2024
Planning Like Human: A Dual-process Framework for Dialogue Planning ACL 2024
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning NIPS 2024
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NIPS 2024
Text-Aware Diffusion for Policy Learning NIPS 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024
Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests EACL 2024