BIT-aerial-robotics / AquaML
☆102Updated last month
Alternatives and similar repositories for AquaML:
Users that are interested in AquaML are comparing it to the libraries listed below
- ☆16Updated 2 years ago
- ☆23Updated 2 years ago
- ☆38Updated 3 months ago
- The Code for Paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Ta…☆151Updated 8 months ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆166Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆71Updated 9 months ago
- ☆58Updated last month
- Use seaborn to draw RL picture☆25Updated last year
- ☆96Updated 3 years ago
- ☆91Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆58Updated 9 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆163Updated 11 months ago
- This is the official implementation of Multi-Agent PPO.☆104Updated 2 years ago
- ☆42Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated last month
- PPO, DDPG, SAC implementation on mujoco environment☆101Updated 3 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆152Updated last year
- Transformer in RL for decision-making☆96Updated 2 years ago
- rl-papers☆48Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆125Updated last month
- reinforcement learning algorithm for mapless navigation☆66Updated 3 years ago
- 深度强化学习各算法介绍与Pytorch实现☆47Updated 8 months ago
- Solve BipedalWalkerHardcore-v2 with TD3☆85Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆106Updated 3 years ago
- ☆71Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆120Updated 11 months ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Google Research Football MARL Benchmark and Research Toolkit☆40Updated 10 months ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆85Updated 4 years ago
- ☆197Updated last year