ronsailer / A2OC_A2C
PyTorch implementation of Advantage Actor-Critic (A2C), Asynchronous Advantage Option-Critic (A2OC), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
☆8Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for A2OC_A2C
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- ☆54Updated 8 months ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 3 years ago
- ☆40Updated 3 years ago
- ☆29Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆18Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Updated 2 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆21Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- PyTorch IMPALA implementation☆24Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Updated 5 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆51Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Code for demonstration example-task in RUDDER blog☆22Updated 4 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆20Updated last year
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 2 years ago
- ☆18Updated last year
- Code for Model-Free Opponent Shaping (ICML 2022)☆17Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆13Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- ☆81Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 4 years ago