CursedSeraphim / icmppoLinks
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
☆16Updated 3 years ago
Alternatives and similar repositories for icmppo
Users that are interested in icmppo are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆65Updated 5 years ago
- ☆14Updated 5 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆43Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆31Updated 4 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆34Updated 3 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆81Updated 2 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆123Updated 4 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆40Updated 4 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆50Updated 6 years ago
- Meta-RL Model-Based Algorithm☆40Updated 4 months ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆101Updated 3 months ago
- behavior cloning from observation☆36Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated last month
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 5 months ago
- Source Code for the ICML Paper "Curriculum Reinforcement Learning via Constrained Optimal Transport"☆13Updated 3 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- PyTorch implementation of GAIL and PPO reinforcement learning algorithms☆25Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- PyTorch IMPALA implementation☆28Updated 6 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆38Updated last year
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated last year
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago