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Found 7 papers, 1 papers with code
Variational Inference for Sequential Data with Future Likelihood Estimates
The estimated future likelihoods form the core of our new low-variance gradient estimator.
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
Despite the promise of RLHF in aligning LLMs with human preferences, it often leads to superficial alignment, prioritizing stylistic changes over improving downstream performance of LLMs.
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
We consider the problem of learning from observation (LfO), in which the agent aims to mimic the expert's behavior from the state-only demonstrations by experts.
Offline Reinforcement Learning for Large Scale Language Action Spaces
GPT-Critic is essentially free from the issue of diverging from human language since it learns from the sentences sampled from the pre-trained language model.
Monte-Carlo Planning and Learning with Language Action Value Estimates
Interactive Fiction (IF) games provide a useful testbed for language-based reinforcement learning agents, posing significant challenges of natural language understanding, commonsense reasoning, and non-myopic planning in the combinatorial search space.
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
The goal-oriented dialogue system needs to be optimized for tracking the dialogue flow and carrying out an effective conversation under various situations to meet the user goal.
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
We present PyOpenDial, a Python-based domain-independent, open-source toolkit for spoken dialogue systems.
