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An index of algorithms for reinforcement learning from human feedback (rlhf))
A PyTorch implementation for the paper 'Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations'.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.
[ICRA2023] Grounding Language with Visual Affordances over Unstructured Data
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"
Driving in CARLA using model-free deep reinforcement learning
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Deep Reinforcement Learning with pytorch & visdom
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Implementation of a novel interactive learning method: TIPS (Teaching Imitative Policies in State-space). Part of the Master Thesis: "Interactive Learning in State-Space" at the Delft University of…
Code for hierarchical imitation learning and reinforcement learning
A high-performance distributed training framework for Reinforcement Learning
ICML'20: Intrinsic Reward Driven Imitation Learning via Generative Model
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Paper list of multi-agent reinforcement learning (MARL)
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.