Unsupervised video summarization with deep reinforcement learning (AAAI'18)
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Updated
Dec 11, 2023 - Python
Unsupervised video summarization with deep reinforcement learning (AAAI'18)
Code release for Context-Aware Visual Policy Network for Sequence-Level Image Captioning (MM 2018) and Context-Aware Visual Policy Network for Fine-Grained Image Captioning (TPAMI 2019)
A policy network in TensorFlow to classify backgammon moves
Deep Reinforcement Learning and Imitation Learning with sim2sim exploration and behavior cloning
AWS Networking Organisation Internal DeepRacer Cup 2020
Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.
AlphaZero-style Gomoku training system with self-play reinforcement learning, MCTS search, and policy-value network optimization on a 15x15 board.
Lightweight AlphaGo-style implementation with policy networks, self-play RL, and automated Go gameplay.
AlphaZero-style Reversi training system with PyTorch policy-value networks, parallel self-play workers, and Monte Carlo Tree Search.
Naive Go AI project exploring policy-network and policy-plus-MCTS pipelines on human game data without full AlphaGo Zero self-play complexity.
Deep Search: 150 MCTS simulations per move explores thousands of positions Pattern Learning: Policy network learns winning move sequences Forced Captures: Properly implements mandatory jump rules King Awareness: Values promotions and king positioning Multi-jump Sequences: Handles complex capture chains Center Control: Mimics grandmaster position.
Summarize videos locally with AI, extracting visual highlights and text summaries from lectures, meetings, and tutorials using CUDA on RTX 40-series GPUs
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