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

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024
Reward Engineering for Generating Semi-structured Explanation EACL 2024
Self-Modifying State Modeling for Simultaneous Machine Translation ACL 2024
LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024
Positivity-free Policy Learning with Observational Data AISTATS 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NIPS 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics NIPS 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions NIPS 2024
Don't Start From Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion RSS 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
Planning Like Human: A Dual-process Framework for Dialogue Planning ACL 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NIPS 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
Policy Learning for Localized Interventions from Observational Data AISTATS 2024
Opponent Modeling with In-context Search NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024