SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
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Updated
Sep 21, 2024 - Python
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
AI framework for Reinforcement Learning, Automated Planning and Scheduling
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
For files & code related to the EDI study ("Effort, Decision-making, and Interoception").
Perceptual decision-making tasks to examine how the opinions of others change individualsβ basic perceptual processes, i.e., whether social influence can alter perception of colors.
This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'
π A fast safe reinforcement learning library in PyTorch
Maze Applied Reinforcement Learning Framework
[NeurIPS 2022] πWebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
[ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"
Probabilistic Scoring System β a probabilistic & incremental extension to Scoring Systems
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
A Universal Platform for Training and Evaluation of Mobile Interaction
The official code repo for HyperAgent for neural bandits and GPT-HyperAgent for content moderation.
Implementations of various decision-making models in Python
ππ¨ Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. ππ
Explore the Gridworld Simulation ππ! An agent navigates a 5x5 grid to maximize rewards, using the Value Iteration algorithm π. Visualizations π show optimal paths and value convergence. Dive into dynamic programming and decision-making! π€π§
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