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21-icra-dish

autoware_ai_planning

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

carla_ilqr_mpc

Implementation of the real-time MPC based on iLQR in Carla simulator

deepmimic

Motion imitation with deep reinforcement learning.

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

derl

Code for "Embodied Intelligence via Learning and Evolution", Gupta et al, Nature Communications

dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

donkeycar

Open source hardware and software platform to build a small scale self driving car.

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

dreamerv2

Mastering Atari with Discrete World Models

drl_graph_exploration

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

dwa-rl

Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigation.

gan-assisted-preference-based-learning

A paper under AAAI-20 review

gym-carla

An OpenAI gym wrapper for CARLA simulator

hierarchies-of-planning-and-reinforcement-learning-for-robot-navigation

hypercrl

Code for the paper "Continual Model-Based Reinforcement Learning with Hypernetworks"

iros2021_sors

learning-to-drive-with-reinforcement-learning-and-variational-autoencoders

Project for my graduate neural networks course - combining RL with VAEs

learning_quadrupedal_locomotion_over_challenging_terrain_supplementary

Supplementary materials for "Learning Locomotion over Challenging Terrain"

level-replay

This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.

logo

Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration, ICLR 2022 (Spotlight)

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

models

Models and examples built with TensorFlow

mopac

Model Predictive Actor-Critic Reinforcement Learning

mtrf

Code for MTRF (https://sites.google.com/view/mtrf)

neonav

NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations

pathplanning

Common used path planning algorithms with animations.