Robotic AI & Learning Lab Berkeley (@rail-berkeley)
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rail-berkeley

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  • Stars
    star
    3,553
  • Global Org. Rank 6,070 (Top 2 %)
  • Registered about 8 years ago
  • Most used languages
    Python
         83.3 %
    C++
         16.7 %

Top repositories

1

rlkit

Collection of reinforcement learning algorithms
Python
2,423
star
2

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Python
1,114
star
3

serl

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Python
302
star
4

bridge_data_v2

Python
61
star
5

serl_franka_controllers

Cartesian impedance controller with reference limiting for Franka Emika Robot
C++
61
star
6

design-bench

Python
44
star
7

oculus_reader

C++
31
star
8

soar

Code release for paper "Autonomous Improvement of Instruction Following Skills via Foundation Models"
Python
31
star
9

design-baselines

Python
20
star
10

bridge_data_robot

Python
14
star
11

grif_release

Code release for the paper "Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control"
Python
13
star
12

doodad

Python
2
star