Allenpandas / 2023-Reinforcement-Learning-Conferences-Papers
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
☆26Updated 10 months ago
Related projects: ⓘ
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆161Updated last year
- Transformer in RL for decision-making☆71Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆108Updated last year
- A collection of recent MARL papers☆65Updated 2 months ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆161Updated last week
- Transformers (GTrXL & CoBERL) applied to RL tasks☆26Updated 2 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆54Updated 8 months ago
- ☆197Updated 7 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆67Updated last year
- MATE: the Multi-Agent Tracking Environment.☆42Updated last year
- ☆96Updated 2 months ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆33Updated last month
- ☆71Updated last year
- ☆180Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆139Updated 5 months ago
- PPO, DDPG, SAC implementation on mujoco environment☆85Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆137Updated 3 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆70Updated 9 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆150Updated last week
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆123Updated 8 months ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆83Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆130Updated 2 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆65Updated last week
- DSAC; Distributional Soft Actor-Critic☆108Updated 6 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆27Updated last year
- Datasets with baselines for offline multi-agent reinforcement learning.☆125Updated this week
- ☆56Updated 11 months ago
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆31Updated last week
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆60Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆152Updated this week