Stepan-Makarenko / ICM-PPO-implementationLinks
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
☆18Updated last year
Alternatives and similar repositories for ICM-PPO-implementation
Users that are interested in ICM-PPO-implementation are comparing it to the libraries listed below
Sorting:
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- DSAC; Distributional Soft Actor-Critic☆129Updated 5 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Implementation of the paper https://arxiv.org/abs/1603.00448.☆36Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆183Updated last year
- A collection of offline reinforcement learning algorithms.☆189Updated 7 months ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆205Updated 10 months ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆202Updated 9 months ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆79Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- ☆211Updated 2 years ago
- Constrained Policy Optimization implementation on Safety Gym☆27Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆67Updated 10 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆170Updated 8 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆362Updated 3 years ago
- Transformer in RL for decision-making☆96Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆137Updated last year
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆65Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆160Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆56Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- This is the official implementation of Multi-Agent PPO.☆109Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year