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).☆185Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- DSAC; Distributional Soft Actor-Critic☆130Updated 6 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- A collection of offline reinforcement learning algorithms.☆197Updated 9 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆369Updated 3 years ago
- ☆102Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- This is the official implementation of Multi-Agent PPO.☆116Updated 2 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆70Updated 11 months ago
- ☆216Updated 2 years ago
- There will be updates later☆84Updated 6 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆355Updated last month
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆68Updated 2 years ago
- Code for Weighted QMIX☆138Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 9 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆210Updated 11 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆321Updated 3 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆132Updated last year