This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Updated
Jul 14, 2019 - Python
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
Multi-rotor Gym
Model-based Policy Gradients
PPO implementation of Humanoid-v2 from Open-AI gym
Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.
The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".
Soft robotics in MuJoCo
Manipulation Demo using mujoco-py
Sparse environment for MuJoCo suite (v2 and v3)
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Reinforcement Learning CS6700 Course Capstone Project
Implementation of Multiplicative Compositional Policies (MCP)
Code from "How useful is quantilization for mitigating specification-gaming?"
Training robots to play soccer
Simple renderer for use with MuJoCo (2.2.x) Python Bindings, on M1 Mac.
cs285 homework solutions - Deep Reinforcement Learning Fall 2019
Python tools for robotics, deep reinforcement learning and neuroscience research.
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