borninfreedom / rlai-exercises
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
☆16Updated 4 years ago
Alternatives and similar repositories for rlai-exercises:
Users that are interested in rlai-exercises are comparing it to the libraries listed below
- ☆94Updated 3 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 8 months ago
- Solve BipedalWalkerHardcore-v2 with TD3☆84Updated last year
- ☆102Updated this week
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- ☆41Updated 3 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆102Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated 4 years ago
- ☆37Updated 2 months ago
- pytorch实现的一些MARL算法☆65Updated 3 years ago
- ☆91Updated 4 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago
- MATE: the Multi-Agent Tracking Environment.☆44Updated last year
- There will be updates later☆84Updated 5 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆44Updated 2 years ago
- A plotter for reinforcement learning (RL)☆218Updated 3 years ago
- ☆193Updated last year
- The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆49Updated last year
- ☆122Updated 3 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆217Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆115Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆123Updated last year
- ☆36Updated 8 months ago
- Exploring the performance of Prioritized Experience Replay (PER) with the DDPG+HER scheme on the Fetch Robotics Environemnt☆13Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆164Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆118Updated 10 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆99Updated 3 years ago