Alternatives and similar repositories for QSnakeGame:

Users that are interested in QSnakeGame are comparing it to the libraries listed below

• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• typoverflow / UtilsRL
  A python module designed for agile RL algorithm developing.
  ☆26Updated 8 months ago
• jidiai / Competition_Football
  ☆12Updated 2 years ago
• jiangsy / LAMDA-Beamer-Template
  A beamer template for LAMDA lab at NJU
  ☆14Updated 4 years ago
• jiangsy / mbpo_pytorch
  ☆28Updated 3 years ago
• FanmingL / SmartLogger
  ☆11Updated 10 months ago
• toshikwa / rltorch
  A simple framework for distributed reinforcement learning in PyTorch.
  ☆16Updated 4 years ago
• wenzhe-li / romi
  Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"
  ☆19Updated 3 years ago
• staghuntrpg / RPG
  This is the source code of RPG (Reward-Randomized Policy Gradient)
  ☆43Updated 2 years ago
• Stilwell-Git / Randomized-Return-Decomposition
  TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"
  ☆19Updated 3 years ago
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆23Updated last year
• jidiai / Competition_RL4Stock
  ☆17Updated last year
• FuxiRL / DunkCityDynasty
  ☆71Updated last year
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆131Updated last year
• wwxFromTju / DRL_trick
  ☆33Updated 7 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 5 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆117Updated 4 months ago
• jiangsy / slbo_pytorch
  ☆15Updated 4 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated 2 years ago
• jity16 / When-to-Update-Your-Model-Constrained-Model-based-Reinforcement-Learning
  Official Pytorch Implementation of CMLO in the paper ”When to Update Your Model: Constrained Model-based Reinforcement Learning“
  ☆10Updated last year
• rlchina / RLCN
  ☆123Updated 3 years ago
• lanyavik / BAIL
  ☆17Updated 2 years ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• jidiai / Competition_Olympics-Integrated
  ☆25Updated 2 years ago
• YiqinYang / VEM
  Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.0979…
  ☆12Updated 3 years ago
• apexrl / AORPO
  Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
  ☆19Updated 3 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• qingshi9974 / PPO-pytorch-Mujoco
  Implement PPO algorithm on mujoco environment，such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.
  ☆49Updated 4 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆105Updated 4 years ago