rl implementationsNo description or website provided.
Stars: ✭ 40 (+11.11%)
Mutual labels: deep-reinforcement-learning, hierarchical-reinforcement-learning
reinforcement-learning-papersMy notes on reinforcement learning papers
Stars: ✭ 13 (-63.89%)
Mutual labels: deep-reinforcement-learning, hierarchical-reinforcement-learning
RLReinforcement Learning Demos
Stars: ✭ 66 (+83.33%)
Mutual labels: deep-reinforcement-learning
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (+50%)
Mutual labels: deep-reinforcement-learning
pokeaiDevelop ultimate AI Pokémon trainer
Stars: ✭ 18 (-50%)
Mutual labels: deep-reinforcement-learning
neural-mpcNo description or website provided.
Stars: ✭ 54 (+50%)
Mutual labels: deep-reinforcement-learning
rtrlPyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
Stars: ✭ 57 (+58.33%)
Mutual labels: deep-reinforcement-learning
MP-DQNSource code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
Stars: ✭ 99 (+175%)
Mutual labels: deep-reinforcement-learning
godpaper🐵 An AI chess-board-game framework(by many programming languages) implementations.
Stars: ✭ 40 (+11.11%)
Mutual labels: deep-reinforcement-learning
UnderflowWith underflow, create trafic light clusters that interact together to regulate circulation
Stars: ✭ 12 (-66.67%)
Mutual labels: deep-reinforcement-learning
drl graspingDeep Reinforcement Learning for Robotic Grasping from Octrees
Stars: ✭ 160 (+344.44%)
Mutual labels: deep-reinforcement-learning
AI booklet CE-AUTBooklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.
Stars: ✭ 14 (-61.11%)
Mutual labels: deep-reinforcement-learning
racing dreamerLatent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Stars: ✭ 31 (-13.89%)
Mutual labels: deep-reinforcement-learning
muzeroA clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.
Stars: ✭ 126 (+250%)
Mutual labels: deep-reinforcement-learning
HRACPyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020).
Stars: ✭ 21 (-41.67%)
Mutual labels: hierarchical-reinforcement-learning
CrowdNav DSRNN[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Stars: ✭ 43 (+19.44%)
Mutual labels: deep-reinforcement-learning
datascience-mashupIn this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
Stars: ✭ 36 (+0%)
Mutual labels: deep-reinforcement-learning
AutoPentest-DRLAutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
Stars: ✭ 196 (+444.44%)
Mutual labels: deep-reinforcement-learning
Reinforcement Learning CourseCurso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.
Stars: ✭ 18 (-50%)
Mutual labels: deep-reinforcement-learning