cww97 / cs285_fall2020_cww

Related projects: ⓘ

• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆70Updated last year
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 2 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆125Updated last year
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆150Updated 2 years ago
• typoverflow / UtilsRL
  A python module designed for agile RL algorithm developing.
  ☆26Updated 2 months ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆79Updated 4 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
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆103Updated last year
• BlueFisher / Advanced-Soft-Actor-Critic
  Soft Actor-Critic with advanced features
  ☆47Updated 3 weeks ago
• JBLanier / pipeline-psro
  Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
  ☆43Updated 3 weeks ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆68Updated 2 years ago
• jiangsy / mbpo_pytorch
  ☆28Updated 2 years ago
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆70Updated last year
• typoverflow / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆62Updated 4 months ago
• ikostrikov / implicit_q_learning
  ☆226Updated 2 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆116Updated last year
• jidiai / Competition_Olympics-Running
  ☆15Updated 2 years ago
• ymzhang01 / focops
  Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).
  ☆24Updated 2 years ago
• PKU-RL / Literature
  ☆96Updated 3 years ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆54Updated last year
• BepfCp / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆21Updated 7 months ago
• YaoMarkMu / Awesome-Pretrained-RL
  ☆86Updated 2 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆108Updated 2 years ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 4 years ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆69Updated last year
• jidiai / Competition_Olympics-Integrated
  ☆24Updated 2 years ago
• typoverflow / WiseRL
  PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms
  ☆15Updated last week
• wisnunugroho21 / asynchronous_impala_PPO
  Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
  ☆32Updated 3 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆99Updated 3 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆169Updated 2 years ago