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
AWS Networking Organisation Internal DeepRacer Cup 2020
Deep Reinforcement Learning and Imitation Learning with sim2sim exploration and behavior cloning
Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.
Lightweight AlphaGo-style implementation with policy networks, self-play RL, and automated Go gameplay.
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.
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