offline-reinforcement-learning Goto Github PK
Type: Organization
Type: Organization
An arxiv spider
Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan Jiang, and Alekh Agarwal.
Implementation of advantage-weighted regression.
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
Author's PyTorch implementation of BCQ for continuous and discrete actions
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
Improved Behavior Regularized Offline Reinforcement Learning
COLMAP - Structure-from-Motion and Multi-View Stereo
Code for conservative Q-learning
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Lua/Torch implementation of DQN (Nature, 2015)
Google Research
The benchmark platform for offline reinforcement reproduction and evaluation
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression
A PyTorch implementation of Rainbow DQN agent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Soft Actor-Critic
An elegant PyTorch deep reinforcement learning library.
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