A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
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Updated
Jul 23, 2024 - C++
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Enhancing HVAC Control Systems through Transfer Learning with Deep Reinforcement Learning Agents
A first approach for fire and smoke simulation Webots world to control a drone, manipulating its angles and thrust.
Gym environment fro Webots Fire Scene
Solution to Project II: Continuous Control in Reinforcement Learning Udacity
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
Исследовательская библиотека обучения с подкреплением.
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Train agents to walk, drive by themself using Unity ML Agent, OpenAI Gym and PyTorch
Implementation of project 2 for Udacity's Deep Reinforcement Learning Nanodegree
Neural Ordinary Differential Equations for Reinforcement Learning
A workbench for online model-free Reinforcement Learning on continuous control problems
Using RL to control a double-jointed robot to reach target locations
Deep Reinforcement Learning Projects
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
Implement PPO to solve Crawler problem in Unity
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Example FRWR (PDDM) implementation with ReLAx
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