byw0919
Ph.D. candidate at the College of Computer Science and Electronic Engineering, Hunan University, focusing on the research field of reinforcement leaning
Hunan UniversityChangsha, Hunan
byw0919's Stars
tinyzqh/light_mappo
Lightweight version of MAPPO to help you quickly migrate to your local environment.
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
byw0919/CONS
The official code base of Cautiously-Optimistic kNowledge Sharing (AAAI 2024)
swan-utokyo/deir
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
lyneyandlynette/GoBI
Implementation of GoBI: Go Beyond Imagination: Maximizing Episodic Reachability with World Models (ICML 2023)
beanie00/LESSON
Official code repository for LESSON.
alirezakazemipour/DDPG-HER
Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
facebookresearch/impact-driven-exploration
impact-driven-exploration
openai/train-procgen
Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
HKUST-Aerial-Robotics/AutoTrans
AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation.
TianhongDai/hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
www-Ye/generative_agents_chinese
Chinese version implementation of Generative Agents: Interactive Simulacra of Human Behavior
XinJingHao/SAC-Discrete-Pytorch
A clean and robust Pytorch implementation of SAC on discrete action space
daochenzha/rapid
[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
aklein1995/exploration_sil_im
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
kingdy2002/VCSE
opendilab/awesome-exploration-rl
A curated list of awesome exploration RL resources (continually updated)
RLE-Foundation/RLeXplore
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
junhyukoh/self-imitation-learning
ICML 2018 Self-Imitation Learning
cliport/cliport
CLIPort: What and Where Pathways for Robotic Manipulation
qgallouedec/panda-gym
Set of robotic environments based on PyBullet physics engine and gymnasium.
openai/robogym
Robotics Gym Environments
geyang/gym-fetch
A collection of manipulation tasks with the fetch robot
lcswillems/rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Farama-Foundation/Gymnasium-Robotics
A collection of robotics simulation environments for reinforcement learning
Kaixhin/ACER
Actor-critic with experience replay
koulanurag/ma-gym
A collection of multi agent environments based on OpenAI gym.
ruizhaogit/mep
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)