alirezakazemipour / PPO-RNDLinks
Random network distillation on Montezuma's Revenge and Super Mario Bros.
☆52Updated 8 months ago
Alternatives and similar repositories for PPO-RND
Users that are interested in PPO-RND are comparing it to the libraries listed below
Sorting:
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆141Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 4 months ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆86Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆183Updated 3 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆146Updated last year
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- ☆202Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆52Updated 5 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- ☆78Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- Soft Actor-Critic with advanced features☆50Updated 2 weeks ago
- ☆116Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆58Updated 3 years ago
- ☆54Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆182Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 11 months ago
- Conservative Q Learning on top of SAC☆136Updated 3 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆149Updated 7 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆85Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆116Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago