abhisheknaik96 / continuing-rl-expsLinks
Code for running RL experiments on continuing (non-episodic) problems.
☆21Updated 4 months ago
Alternatives and similar repositories for continuing-rl-exps
Users that are interested in continuing-rl-exps are comparing it to the libraries listed below
Sorting:
- ☆106Updated 5 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆172Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆214Updated last year
- ☆45Updated 4 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆257Updated 3 years ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆427Updated 3 weeks ago
- Solve BipedalWalkerHardcore-v2 with TD3☆95Updated 2 years ago
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆75Updated 3 years ago
- TD3 in Pytorch☆35Updated 3 years ago
- ☆55Updated 6 months ago
- Multi-Agent Reinforcement Learning (MARL) papers☆281Updated 3 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆162Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆151Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆93Updated last year
- ☆220Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆90Updated 8 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 10 months ago
- This is the official implementation of Multi-Agent PPO.☆129Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆518Updated 2 years ago
- ☆101Updated 5 months ago
- DSAC; Distributional Soft Actor-Critic☆135Updated 10 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 5 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆138Updated 5 months ago
- This is the official code repository for the paper "Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Ag…☆10Updated 10 months ago
- 动手学强化学习代码☆65Updated last year
- ☆174Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆107Updated 3 years ago
- RL algorithms☆141Updated 4 years ago
- A plotter for reinforcement learning (RL) using Weights & Biases☆15Updated 2 years ago