jidiai / Competition_RL4Stock

Related projects: ⓘ

• FanmingL / ESCP
  Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
  ☆20Updated 2 years ago
• p-casgrain / Nash-DQN
  Deep Reinforcement Learning for Nash Equilibria
  ☆39Updated last year
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆70Updated last year
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆26Updated 2 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆125Updated last year
• x35f / meta_rl
  Meta RL codebase for Unstable Baselines
  ☆20Updated last year
• AIDefender / MyDiscor
  Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"
  ☆13Updated 3 years ago
• typoverflow / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆62Updated 4 months ago
• jidiai / olympics_engine
  A simple 2D ball collision engine.
  ☆12Updated last year
• keirp / return_transforms
  ☆19Updated last year
• BepfCp / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆21Updated 7 months ago
• felix-kerkhoff / DQfD
  An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games
  ☆21Updated last year
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆103Updated last year
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆54Updated last year
• younggyoseo / pytorch-nfsp
  Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
  ☆44Updated 5 years ago
• seolhokim / DistributedRL-Pytorch-Ray
  Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)
  ☆27Updated 2 years ago
• jiangsy / mbpo_pytorch
  ☆28Updated 2 years ago
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 2 years ago
• typoverflow / UtilsRL
  A python module designed for agile RL algorithm developing.
  ☆26Updated 2 months ago
• BorealisAI / mtmfrl
  Multi Type Mean Field Reinforcement Learning
  ☆28Updated 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 2 years ago
• MouseHu / GEM
  ☆12Updated 3 years ago
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆19Updated 2 years ago
• jidiai / Competition_Football
  ☆12Updated 2 years ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆17Updated 2 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆24Updated 3 months ago
• quantumiracle / Cascading-Decision-Tree
  Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
  ☆39Updated last year
• AurelianTactics / dqnclipped_dqnreg_prelim_implementation
  Implementing DQNClipped and DQNReg Algorithms
  ☆11Updated 3 years ago
• NagisaZj / MetaCURE-Public
  ☆13Updated last year
• sail-sg / OPER
  code for the paper Offline Prioritized Experience Replay
  ☆13Updated last year